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Associate Professor Gianluca Demartini

Associate Professor

School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
g.demartini@uq.edu.au
+61 7 336 58325

Overview

Dr. Gianluca Demartini is an Associate Professor in Data Science at the University of Queensland, Australia. His main research interests include Information Retrieval, Semantic Web, and Human Computation. His research is currently funded by the Australian Research Council, Facebook, and Google. He received Best Paper awards at the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) in 2018, at the European Conference on Information Retrieval (ECIR) in 2016 and 2020, and the Best Demo award at the International Semantic Web Conference (ISWC) in 2011. He has published more than 150 peer-reviewed scientific publications including papers at major venues such as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI. He is an ACM Senior Member, ACM Distinguished Speaker, TEDx speaker, and CIKM 2021 General co-chair.

Before joining the University of Queensland, he was Lecturer at the University of Sheffield in UK, post-doctoral researcher at the eXascale Infolab at the University of Fribourg in Switzerland, visiting researcher at UC Berkeley, junior researcher at the L3S Research Center in Germany, and intern at Yahoo! Research in Spain. In 2011, he obtained a Ph.D. in Computer Science at the Leibniz University of Hanover focusing on Semantic Search.

Research Interests

  • Misinformation
    Understanding how people interact with misinformation on social media and using AI to mitigate its spread online.
  • Crowdsourcing and Human Computation
    Improving the efficiency and effectiveness of human-in-the-loop systems.
  • Big Data Analytics
    Designing algorithms and systems that can scale-out to large amounts of data.
  • AI for Public Good
    Using Artificial Intelligence methods for societal and environmental purposes. For example, stopping the spread of misinformation online and identifying chimpanzee in videos for preservation purposes.

Research Impacts

The research led by A/Prof. Demartini focuses on improving the efficiency and effectiveness of human-in-the-loop artificial intelligence systems. The application domains of his research include text analytics and the intersection between structured (e.g., knowledge graphs) and unstructured (e.g., text) digital content. During his research career he has collaborated with colleagues from several industry and governmental organizations like for example, Facebook, Google, Microsoft, Yahoo!, IBM, SAP, and The National Archives in the UK.

Qualifications

  • Doctor rerum naturalium, Gottfried Wilhelm Leibniz Universität Hannover

Publications

  • Conference Publication: Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments

    Roitero, Kevin, Checco, Alessandro, Mizzaro, Stefano and Demartini, Gianluca (2022). Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments. ACM Web Conference, Virtual/Lyon, France, 25-29 April 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511960

  • Conference Publication: Modelling User Behavior Dynamics with Embeddings

    Han, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985

  • Journal Article: CrowdCO-OP: sharing risks and rewards in crowdsourcing

    Fan, Shaoyang, Gadiraju, Ujwal, Checco, Alessandro and Demartini, Gianluca (2020). CrowdCO-OP: sharing risks and rewards in crowdsourcing. Proceedings of the ACM on Human-Computer Interaction, 4 (CSCW2) 132, 1-24. doi: 10.1145/3415203

  • Conference Publication: Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background

    Roitero, Kevin, Soprano, Michael, Fan, Shaoyang, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2020). Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401112

  • Journal Article: Adversarial attacks on crowdsourcing quality control

    Checco, Alessandro, Bates, Jo and Demartini, Gianluca (2020). Adversarial attacks on crowdsourcing quality control. Journal of Artificial Intelligence Research, 67, 375-408. doi: 10.1613/jair.1.11332

  • Conference Publication: Crowd worker strategies in relevance judgment tasks

    Han, Lei, Maddalena, Eddy, Checco, Alessandro, Sarasua, Cristina, Gadiraju, Ujwal, Roitero, Kevin and Demartini, Gianluca (2020). Crowd worker strategies in relevance judgment tasks. 13th International Conference on Web Search and Data Mining, Houston, Texas, 3-7 February 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3336191.3371857

  • Conference Publication: On understanding data worker interaction behaviors

    Han, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3397271.3401059

  • Conference Publication: All those wasted hours: on task abandonment in crowdsourcing

    Han, Lei, Roitero, Kevin, Gadiraju, Ujwal, Sarasua, Cristina, Checco, Alessandro, Maddalena, Eddy and Demartini, Gianluca (2019). All those wasted hours: on task abandonment in crowdsourcing. 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC Australia , 11-15 February 2019. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3289600.3291035

  • Conference Publication: Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data

    Yang, Jie, Demartini, Gianluca, Smirnova, Alisa, Lu, Yuan, Yang, Dingqi and Cudré-Mauroux, Philippe (2019). Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data. World Wide Web Conference (WWW), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3308558.3313599

  • Conference Publication: On fine-grained relevance scales

    Roitero, Kevin, Maddalena, Eddy, Demartini, Gianluca and Mizzaro, Stefano (2018). On fine-grained relevance scales. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210052

  • Journal Article: An introduction to hybrid human-machine information systems

    Demartini, Gianluca, Difallah, Djellel Eddine, Gadiraju, Ujwal and Catasta, Michele (2017). An introduction to hybrid human-machine information systems. Foundations and Trends in Web Science, 7 (1), 1-87. doi: 10.1561/1800000025

  • Conference Publication: The dynamics of micro-task crowdsourcing: the case of amazon MTurk

    Difallah, Djellel Eddine, Catasta, Michele, Demartini, Gianluca, Ipeirotis, Panagiotis G. and Cudré-Mauroux, Philippe (2015). The dynamics of micro-task crowdsourcing: the case of amazon MTurk. 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18 - 22 May 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2736277.2741685

  • Conference Publication: Understanding malicious behavior in crowdsourcing platforms: the case of online surveys

    Gadiraju, Ujwal, Kawase, Ricardo, Dietze, Stefan and Demartini, Gianluca (2015). Understanding malicious behavior in crowdsourcing platforms: the case of online surveys. 33rd Annual CHI Conference on Human Factors in Computing Systems - CHI'15, Seoul, South Korea, 18 - 23 April 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2702123.2702443

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Grants

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Supervision

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Publications

Featured Publications

  • Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments

    Roitero, Kevin, Checco, Alessandro, Mizzaro, Stefano and Demartini, Gianluca (2022). Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments. ACM Web Conference, Virtual/Lyon, France, 25-29 April 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511960

  • Modelling User Behavior Dynamics with Embeddings

    Han, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985

  • CrowdCO-OP: sharing risks and rewards in crowdsourcing

    Fan, Shaoyang, Gadiraju, Ujwal, Checco, Alessandro and Demartini, Gianluca (2020). CrowdCO-OP: sharing risks and rewards in crowdsourcing. Proceedings of the ACM on Human-Computer Interaction, 4 (CSCW2) 132, 1-24. doi: 10.1145/3415203

  • Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background

    Roitero, Kevin, Soprano, Michael, Fan, Shaoyang, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2020). Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401112

  • Adversarial attacks on crowdsourcing quality control

    Checco, Alessandro, Bates, Jo and Demartini, Gianluca (2020). Adversarial attacks on crowdsourcing quality control. Journal of Artificial Intelligence Research, 67, 375-408. doi: 10.1613/jair.1.11332

  • Crowd worker strategies in relevance judgment tasks

    Han, Lei, Maddalena, Eddy, Checco, Alessandro, Sarasua, Cristina, Gadiraju, Ujwal, Roitero, Kevin and Demartini, Gianluca (2020). Crowd worker strategies in relevance judgment tasks. 13th International Conference on Web Search and Data Mining, Houston, Texas, 3-7 February 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3336191.3371857

  • On understanding data worker interaction behaviors

    Han, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3397271.3401059

  • All those wasted hours: on task abandonment in crowdsourcing

    Han, Lei, Roitero, Kevin, Gadiraju, Ujwal, Sarasua, Cristina, Checco, Alessandro, Maddalena, Eddy and Demartini, Gianluca (2019). All those wasted hours: on task abandonment in crowdsourcing. 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC Australia , 11-15 February 2019. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3289600.3291035

  • Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data

    Yang, Jie, Demartini, Gianluca, Smirnova, Alisa, Lu, Yuan, Yang, Dingqi and Cudré-Mauroux, Philippe (2019). Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data. World Wide Web Conference (WWW), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3308558.3313599

  • On fine-grained relevance scales

    Roitero, Kevin, Maddalena, Eddy, Demartini, Gianluca and Mizzaro, Stefano (2018). On fine-grained relevance scales. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210052

  • An introduction to hybrid human-machine information systems

    Demartini, Gianluca, Difallah, Djellel Eddine, Gadiraju, Ujwal and Catasta, Michele (2017). An introduction to hybrid human-machine information systems. Foundations and Trends in Web Science, 7 (1), 1-87. doi: 10.1561/1800000025

  • The dynamics of micro-task crowdsourcing: the case of amazon MTurk

    Difallah, Djellel Eddine, Catasta, Michele, Demartini, Gianluca, Ipeirotis, Panagiotis G. and Cudré-Mauroux, Philippe (2015). The dynamics of micro-task crowdsourcing: the case of amazon MTurk. 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18 - 22 May 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2736277.2741685

  • Understanding malicious behavior in crowdsourcing platforms: the case of online surveys

    Gadiraju, Ujwal, Kawase, Ricardo, Dietze, Stefan and Demartini, Gianluca (2015). Understanding malicious behavior in crowdsourcing platforms: the case of online surveys. 33rd Annual CHI Conference on Human Factors in Computing Systems - CHI'15, Seoul, South Korea, 18 - 23 April 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2702123.2702443

Book

Book Chapter

  • Artificial intelligence needs human intervention to combat online hate

    Demartini, Gianluca and Wilson-Barnao, Caroline (2022). Artificial intelligence needs human intervention to combat online hate. Conflict in My Outlook. (pp. 1-30) edited by Anna Briers, Nicholas Carah and Holly Arden. Melbourne, VIC, Australia: Perimiter.

  • Semantic Interlinking

    Demartini, Gianluca (2019). Semantic Interlinking. Encyclopedia of Big Data Technologies. (pp. 1496-1500) Cham, Switzerland: Springer. doi: 10.1007/978-3-319-77525-8_229

  • Using Twitter as a data source: an overview of ethical, legal, and methodological challenges

    Ahmed, Wasim, Bath, Peter A. and Demartini, Gianluca (2018). Using Twitter as a data source: an overview of ethical, legal, and methodological challenges. The ethics of online research. (pp. 79-107) edited by Kandy Woodfield. Bingley, United Kingdom: Emerald Publishing . doi: 10.1108/s2398-601820180000002004

  • NoizCrowd: A Crowd-Based Data Gathering and Management System for Noise Level Data

    Wisniewski, Mariusz, Demartini, Gianluca, Malatras, Apostolos and Cudré-Mauroux, Philippe (2013). NoizCrowd: A Crowd-Based Data Gathering and Management System for Noise Level Data. Mobile Web Information Systems. (pp. 172-186) Heidelberg, Germany: Springer . doi: 10.1007/978-3-642-40276-0_14

  • Overview of the INEX 2008 Entity Ranking Track

    Demartini, Gianluca, de Vries, Arjen P., Iofciu, Tereza and Zhu, Jianhan (2009). Overview of the INEX 2008 Entity Ranking Track. 7th International Workshop of the initiative for the evaluation of XML retrieval, INEX 2008. (pp. 243-252) Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-03761-0_25

Journal Article

Conference Publication

  • Perspectives on Large Language Models for Relevance Judgment

    Faggioli, Guglielmo, Dietz, Laura, Clarke, Charles L. A., Demartini, Gianluca, Hagen, Matthias, Hauff, Claudia, Kando, Noriko, Kanoulas, Evangelos, Potthast, Martin, Stein, Benno and Wachsmuth, Henning (2023). Perspectives on Large Language Models for Relevance Judgment. New York, NY, USA: ACM. doi: 10.1145/3578337.3605136

  • On the Impact of Data Quality on Image Classification Fairness

    Barry, Aki, Han, Lei and Demartini, Gianluca (2023). On the Impact of Data Quality on Image Classification Fairness. New York, NY, USA: ACM. doi: 10.1145/3539618.3592031

  • Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency

    Yu, Shaochen, Han, Lei, Indulska, Marta, Sadiq, Shazia and Demartini, Gianluca (2023). Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency. New York, NY, USA: ACM. doi: 10.1145/3543507.3583515

  • The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice?

    Righes, Luca, Saeed, Mohammed, Demartini, Gianluca and Papotti, Paolo (2023). The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice?. New York, NY, USA: ACM. doi: 10.1145/3543873.3587340

  • Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

    Le, Linh, Zuccon, Guido, Demartini, Gianluca, Zhao, Genghong and Zhang, Xia (2023). Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition. AMIA 2022 Annual Symposium, Washington, DC United States, 5-9 November 2022. Bethesda, MD United States: American Medical Informatics Association.

  • Automatic identification of 5C vaccine behaviour on social media

    Sampath Kumar, Ajay Hemanth, Shausan, Aminath, Demartini, Gianluca and Rahimi, Afshin (2022). Automatic identification of 5C vaccine behaviour on social media. Eighth Workshop on Noisy User-generated Text (W-NUT 2022), Gyeongju, Republic of Korea, 12-17 October 2022. Gyeongju, Republic of Korea: International Conference on Computational Linguistics.

  • Crowdsourced fact-checking at Twitter : how does the crowd compare with experts?

    Saeed, Mohammed, Traub, Nicolas, Nicolas, Maelle, Demartini, Gianluca and Papotti, Paolo (2022). Crowdsourced fact-checking at Twitter : how does the crowd compare with experts?. 31st ACM International Conference on Information & Knowledge, Atlanta, GA USA, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3511808.3557279

  • How does the crowd impact the model? A tool for raising awareness of social bias in crowdsourced training data

    Perikleous, Periklis, Kafkalias, Andreas, Theodosiou, Zenonas, Barlas, Pinar, Christoforou, Evgenia, Otterbacher, Jahna, Demartini, Gianluca and Lanitis, Andreas (2022). How does the crowd impact the model? A tool for raising awareness of social bias in crowdsourced training data. 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, United States, 17-22 October 2022. New York, NY, United States: ACM. doi: 10.1145/3511808.3557178

  • Workshop on Human-in-the-loop Data Curation

    Demartini, Gianluca, Yang, Jie and Sadiq, Shazia (2022). Workshop on Human-in-the-loop Data Curation. New York, NY, USA: ACM. doi: 10.1145/3511808.3557498

  • Incorporating AI and Analytics to Derive Insights from E-exam Logs

    Lahza, Hatim Fareed, Khosravi, Hassan and Demartini, Gianluca (2022). Incorporating AI and Analytics to Derive Insights from E-exam Logs. 23rd International Conference of Artificial Intelligence in Education AIED 2022, Durham, United Kingdom, 27–31 July 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-11644-5_78

  • Socio-economic diversity in human annotations

    Fan, Shaoyang, Barlas, Pinar, Christoforou, Evgenia, Otterbacher, Jahna, Sadiq, Shazia and Demartini, Gianluca (2022). Socio-economic diversity in human annotations. WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, 26-29 June 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3501247.3531588

  • Exploring data literacy levels in the crowd – the case of COVID-19

    Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. Sixteenth International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6–9 June 2022. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v16i1.19395

  • Exploring data literacy levels in the crowd – the case of COVID-19

    Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. The 16th International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6-9 June 2022. Palo Alto, CA United States: AAAI Press.

  • Does evidence from peers help crowd workers in assessing truthfulness?

    Xu, Jiechen, Han, Lei, Fan, Shaoyang, Sadiq, Shazia and Demartini, Gianluca (2022). Does evidence from peers help crowd workers in assessing truthfulness?. WWW '22: The ACM Web Conference 2022, Online, 25 - 29 April, 2022. New York, NY, United States: ACM. doi: 10.1145/3487553.3524236

  • Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments

    Roitero, Kevin, Checco, Alessandro, Mizzaro, Stefano and Demartini, Gianluca (2022). Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments. ACM Web Conference, Virtual/Lyon, France, 25-29 April 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511960

  • Effects of technological interventions for self-regulation: a control experiment in learnersourcing

    Lahza, Hatim, Khosravi, Hassan, Demartini, Gianluca and Gasevic, Dragan (2022). Effects of technological interventions for self-regulation: a control experiment in learnersourcing. LAK22: 12th International Learning Analytics and Knowledge Conference, Virtual, United States, 21 - 25 March 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3506860.3506911

  • A behavioural analysis of metadata use in evaluating the quality of repurposed data

    Zhou, Hui, Han, Lei, Dermatini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). A behavioural analysis of metadata use in evaluating the quality of repurposed data. 41st International Conference on Conceptual Modeling, ER 2022, Hyderabad, India, 17-20 October 2022. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-031-17995-2_22

  • BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval

    La Barbera, David, Roitero, Kevin, Mackenzie, Joel, Spina, Damiano, Demartini, Gianluca and Mizzaro, Stefano (2022). BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval. CLEF 2022 – Conference and Labs of the Evaluation Forum,, Bologna, Italy, 5-8 September 2022. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V.

  • An Analysis of the Australian Political Discourse in Sponsored Social Media Content

    Han, Lei, Sawant, Rudra, Fan, Shaoyang, Kefford, Glenn and Demartini, Gianluca (2021). An Analysis of the Australian Political Discourse in Sponsored Social Media Content. ADCS '21: Australasian Document Computing Symposium, Online, 9 December 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3503516.3503533

  • Hierarchical clustering of corals using image clustering

    Sawant, Rudra, Demartini, Gianluca and Bridge, Tom (2021). Hierarchical clustering of corals using image clustering. ADCS '21: Proceedings of the 25th Australasian Document Computing Symposium, Online, 9 December 2021. New York, NY United States: ACM. doi: 10.1145/3503516.3503531

  • Iterative human-in-the-loop discovery of unknown unknowns in image datasets

    Han, Lei, Dong, Xiao and Demartini, Gianluca (2021). Iterative human-in-the-loop discovery of unknown unknowns in image datasets. 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), Online, 14-18 November 2021. Palo Alto, CA United States: AAAI Press. doi: 10.1609/hcomp.v9i1.18941

  • Loss-based active learning for named entity recognition

    Linh, Le Thai, Nguyen, Minh-Tien, Zuccon, Guido and Demartini, Gianluca (2021). Loss-based active learning for named entity recognition. 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 18-22 July, 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ijcnn52387.2021.9533675

  • Charting the design and analytics agenda of learnersourcing systems

    Khosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448143

  • CoralExp: An Explainable System to Support Coral Taxonomy Research

    Harding, Jaiden, Bridge, Tom and Demartini, Gianluca (2021). CoralExp: An Explainable System to Support Coral Taxonomy Research. 43rd European Conference on IR Research, ECIR 2021, Online, 28 March – 1 April 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-72240-1_55

  • Modelling User Behavior Dynamics with Embeddings

    Han, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985

  • The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

    Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano and Demartini, Gianluca (2020). The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?. 29th ACM International Conference on Information & Knowledge Management, Online, 19 - 23 October 2020. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3340531.3412048

  • A region selection model to identify unknown unknowns in image datasets

    Dong, Xiao, Zhang, Huaxiang and Demartini, Gianluca (2020). A region selection model to identify unknown unknowns in image datasets. 24th European Conference on Artificial Intelligence, ECAI 2020, Santiago de Compostela, Spain, 29 August - 8 September 2020. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA200128

  • QuRVe: Query Refinement for View Recommendation in visual data exploration

    Ehsan, Humaira, Sharaf, Mohamed A. and Demartini, Gianluca (2020). QuRVe: Query Refinement for View Recommendation in visual data exploration. 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, Lyon, France, 25 - 27 August 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-54623-6_14

  • Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background

    Roitero, Kevin, Soprano, Michael, Fan, Shaoyang, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2020). Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401112

  • Representation learning for entity type ranking

    Rahman, Md Mostafizur, Takasu, Atsuhiro and Demartini, Gianluca (2020). Representation learning for entity type ranking. SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, Brno, Czech Republic, 30 March-3 April 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3341105.3374029

  • Building data curation processes with crowd intelligence

    Chen, Tianwa, Han, Lei, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). Building data curation processes with crowd intelligence. CAiSE Forum 2020: Advanced Information Systems Engineering, Grenoble, France, 8 – 12 June 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58135-0_3

  • Crowd worker strategies in relevance judgment tasks

    Han, Lei, Maddalena, Eddy, Checco, Alessandro, Sarasua, Cristina, Gadiraju, Ujwal, Roitero, Kevin and Demartini, Gianluca (2020). Crowd worker strategies in relevance judgment tasks. 13th International Conference on Web Search and Data Mining, Houston, Texas, 3-7 February 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3336191.3371857

  • Crowdsourcing truthfulness: the impact of judgment scale and assessor bias

    La Barbera, David, Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2020). Crowdsourcing truthfulness: the impact of judgment scale and assessor bias. European Conference on Information Retrieval, Lisbon, Portugal, 14-17 April 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-45442-5_26

  • On understanding data worker interaction behaviors

    Han, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3397271.3401059

  • Zika outbreak of 2016: insights from twitter

    Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2020). Zika outbreak of 2016: insights from twitter. International Conference on Human-Computer Interaction, Copenhagen, Denmark, 19-24 July 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-49576-3_32

  • All those wasted hours: on task abandonment in crowdsourcing

    Han, Lei, Roitero, Kevin, Gadiraju, Ujwal, Sarasua, Cristina, Checco, Alessandro, Maddalena, Eddy and Demartini, Gianluca (2019). All those wasted hours: on task abandonment in crowdsourcing. 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC Australia , 11-15 February 2019. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3289600.3291035

  • Augmenting intelligence with bias-aware humans-in-the-loop (HumBL2019) chairs' welcome

    Aroyo, Lora, Gadiraju, Ujwal, Inel, Oana, Checco, Alessandro, Gentile, Anna Lisa, Sarasua, Cristina and Demartini, Gianluca (2019). Augmenting intelligence with bias-aware humans-in-the-loop (HumBL2019) chairs' welcome. 2019 World Wide Web Conference, San Francisco, CA United States, 13 - 17 May 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3308560.3317301

  • Health card retrieval for consumer health search an empirical investigation of methods

    Jimmy,, Zuccon, Guido, Koopman, Bevan and Demartini, Gianluca (2019). Health card retrieval for consumer health search an empirical investigation of methods. CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Beijing, China, November, 2019. New York, New York, USA: Association for Computing Machinery. doi: 10.1145/3357384.3358128

  • Health cards for consumer health search

    Jimmy, Koopman, Bevan, Zuccon, Guido and Demartini, Gianluca (2019). Health cards for consumer health search. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, 21-25 July 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3331184.3331194

  • How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcing

    Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2019). How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcing. CIKM 2018 Workshops, Torino, Italy, 22-26 October 2018. CEUR-WS.

  • Implicit bias in crowdsourced knowledge graphs

    Demartini, Gianluca (2019). Implicit bias in crowdsourced knowledge graphs. World Wide Web Conference (WWW 2019), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3308560.3317307

  • Jobnow'19 - 1st international workshop on job knowledge discovery on the Web & Social media

    Gadiraju, Ujwal, Demartini, Gianluca, Bohlouli, Mahdi and Margaryan, Anoush (2019). Jobnow'19 - 1st international workshop on job knowledge discovery on the Web & Social media. 30th ACM Conference on Hypertext and Social Media, Hof, Germany, 17-20 September 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3342220.3349532

  • Non-parametric class completeness estimators for collaborative knowledge graphs—the case of Wikidata

    Luggen, Michael, Difallah, Djellel, Sarasua, Cristina, Demartini, Gianluca and Cudré-Mauroux, Philippe (2019). Non-parametric class completeness estimators for collaborative knowledge graphs—the case of Wikidata. International Semantic Web Conference, Auckland, New Zealand, 26-30 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-30793-6_26

  • On transforming relevance scales

    Han, Lei, Roitero, Kevin, Maddalena, Eddy, Mizzaro, Stefano and Demartini, Gianluca (2019). On transforming relevance scales. 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3 - 7 November 2019. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3357384.3357988

  • Preface

    Demartini, Gianluca and Thomas, Paul (2019). Preface. 24th Australasian Document Computing Symposium, Sydney, NSW Australia, 5-6 December 2019. New York, NY USA: Association for Computing Machinery.

  • Quality control attack schemes in crowdsourcing

    Checco, Alessandro, Bates, Jo and Demartini, Gianluca (2019). Quality control attack schemes in crowdsourcing. Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China, 10-16 August 2019. Palo Alto, CA, United States: A A A I Press. doi: 10.24963/ijcai.2019/850

  • Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data

    Yang, Jie, Demartini, Gianluca, Smirnova, Alisa, Lu, Yuan, Yang, Dingqi and Cudré-Mauroux, Philippe (2019). Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data. World Wide Web Conference (WWW), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3308558.3313599

  • Tracking user behaviours: Laboratory-based and in-the-wild user studies

    Demartini, Gianluca and Sadiq, Shazia (2019). Tracking user behaviours: Laboratory-based and in-the-wild user studies. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-18590-9a

  • Understanding worker moods and reactions to rejection in crowdsourcing

    Gadiraju, Ujwal and Demartini, Gianluca (2019). Understanding worker moods and reactions to rejection in crowdsourcing. 30th ACM Conference on Hypertext and Social Media, Hof, Germany, 17-20 September 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3342220.3343644

  • All that glitters is gold -- An attack scheme on gold questions in crowdsourcing

    Checco, Alessandro, Bates, Jo and Demartini, Gianluca (2018). All that glitters is gold -- An attack scheme on gold questions in crowdsourcing. The 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), Zurich, Switzerland, July 5–8 2018. Palo Alto, CA, United States: AAAI Press.

  • Can user behaviour sequences reflect perceived novelty?

    Zhuang, Mengdie, Toms, Elaine G. and Demartini, Gianluca (2018). Can user behaviour sequences reflect perceived novelty?. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22 - 26, 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3269206.3269243

  • Investigating user perception of gender bias in image search: the role of sexism

    Otterbacher, Jahna, Checco, Alessandro, Demartini, Gianluca and Clough, Paul (2018). Investigating user perception of gender bias in image search: the role of sexism. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210094

  • Measuring the effect of public health campaigns on twitter: The case of world autism awareness day

    Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2018). Measuring the effect of public health campaigns on twitter: The case of world autism awareness day. 13th International Conference on Transforming Digital Worlds, iConference 2018, Sheffield, U.K., March 25-28, 2018. CHAM: Springer Verlag. doi: 10.1007/978-3-319-78105-1_2

  • Moral panic through the lens of Twitter: an analysis of infectious disease outbreaks

    Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2018). Moral panic through the lens of Twitter: an analysis of infectious disease outbreaks. 9th International Conference on Social Media and Society, SMSociety 2018, Copenhagen, Denmark, 18-20 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3217804.3217915

  • On fine-grained relevance scales

    Roitero, Kevin, Maddalena, Eddy, Demartini, Gianluca and Mizzaro, Stefano (2018). On fine-grained relevance scales. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210052

  • On the volatility of commercial search engines and its impact on information retrieval research

    Jimmy, Zuccon, Guido and Demartini, Gianluca (2018). On the volatility of commercial search engines and its impact on information retrieval research. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210088

  • Considering assessor agreement in IR evaluation

    Maddalena, Eddy, Roitero, Kevin, Demartini, Gianluca and Mizzaro, Stefano (2017). Considering assessor agreement in IR evaluation. ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieva, Amsterdam, Netherlands, 1-4 October 2017. New York, NY USA: ACM Press. doi: 10.1145/3121050.3121060

  • FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe

    Checco, Alessandro, Demartini, Gianluca, Löser, Alexander, Arous, Ines, Dantone, Matthias, Koopmanschap, Richard, Stalinov, Svetlin, Kersten, Martin and Zhang, Ying (2017). FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe. 'Machine learning meets fashion' workshop at KDD 2017, Halifax, Nova Scotia, Canada, August 2017.

  • Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing

    Checco, Alessandro, Roitero, Kevin, Maddalena, Eddy, Mizzaro, Stefano and Demartini, Gianluca (2017). Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing. The 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Quebec City, Canada, October 2017. AAAI Press.

  • Topics Discussed on Twitter at the Beginning of the 2014 Ebola Epidemic in United States

    Ahmed, Wasim , Demartini, Gianluca and Bath, Peter (2017). Topics Discussed on Twitter at the Beginning of the 2014 Ebola Epidemic in United States. iConference, Wuhan, China, March 2017.

  • Towards building a standard dataset for Arabic keyphrase extraction evaluation

    Helmy, Muhammad, Basaldella, Marco, Maddalena, Eddy, Mizzaro, Stefano and Demartini, Gianluca (2017). Towards building a standard dataset for Arabic keyphrase extraction evaluation. 20th International Conference on Asian Language Processing, IALP 2016, Tainan, Taiwan, November 21-23, 2016. NEW YORK: Institute of Electrical and Electronics Engineers . doi: 10.1109/IALP.2016.7875927

  • Understanding engagement through search behaviour

    Zhuang, Mengdie, Demartini, Gianluca and Toms, Elaine G. (2017). Understanding engagement through search behaviour. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3132978

  • Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge

    Maddalena, Eddy, Basaldella, Marco, De Nart, Dario, Degl'Innocenti, Dante, Mizzaro, Stefano and Demartini, Gianluca (2016). Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge. AAAI Press.

  • A tutorial on leveraging knowledge graphs for web search

    Demartini, Gianluca (2016). A tutorial on leveraging knowledge graphs for web search. 9th Russian Summer School in Information Retrieval (RuSSIR), St Petersburg, Russia, 24-28 August 2015. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-319-41718-9_2

  • Crowdsourcing relevance assessments: the unexpected benefits of limiting the time to judge

    Maddalena, Eddy, Basaldella, Marco, De Nart, Dario, Degl'Innocenti, Dante, Mizzaro, Stefano and Demartini, Gianluca (2016). Crowdsourcing relevance assessments: the unexpected benefits of limiting the time to judge. The 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016), Austin, TX, United States, 31 October-2 November 2016. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

  • Exploring entity-centric methods in the UK Government Web Archive

    Webster, Philip, Clough, Paul, Demartini, Gianluca, Storrar, Tom, Ranade, Sonia and Seaman, Graham (2016). Exploring entity-centric methods in the UK Government Web Archive. 1st International Workshop on Accessing Cultural Heritage at Scale, ACHS 2016, Newark, NJ, United States, 22 June 2016. Aachen, Germany: CEUR-WS.

  • Modeling task complexity in crowdsourcing

    Yang, Jie, Redi, Judith, Demartini, Gianluca and Bozzon, Alessandro (2016). Modeling task complexity in crowdsourcing. The 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016), Austin, TX, United States, 31 October-2 November 2016. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

  • Scheduling human intelligence tasks in multi-tenant crowd-powered systems

    Difallah, Djellel Eddine, Demartini, Gianluca and Cudré-Mauroux, Philippe (2016). Scheduling human intelligence tasks in multi-tenant crowd-powered systems. 25th International World Wide Web Conference, WWW 2016, Montreal, QC, Canada, 11-15 April 2016. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/2872427.2883030

  • Search behaviour before and after search success

    Zhuang, Mengdie, Toms, Elaine G. and Demartini, Gianluca (2016). Search behaviour before and after search success. 2nd International Workshop on Search as Learning, SAL 2016, Pisa, Italy, 21 July 21 2016. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V.

  • The relationship between user perception and user behaviour in interactive information retrieval evaluation

    Zhuang, Mengdie, Toms, Elaine G. and Demartini, Gianluca (2016). The relationship between user perception and user behaviour in interactive information retrieval evaluation. 38th European Conference on IR Research, ECIR 2016, Padua, Italy, 20-23 March 2016. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-30671-1_22

  • Fixing the domain and range of properties in linked data by context disambiguation

    Tonon, Alberto, Catasta, Michele, Demartini, Gianluca and Cudré-Mauroux, Philippe (2015). Fixing the domain and range of properties in linked data by context disambiguation. Proceedings of the Workshop on Linked Data on the Web co-located with the 24th International World Wide Web Conference (WWW 2015), Florence, Italy, 19 May 2015. Aachen, Germany: CEUR-WS.

  • The dynamics of micro-task crowdsourcing: the case of amazon MTurk

    Difallah, Djellel Eddine, Catasta, Michele, Demartini, Gianluca, Ipeirotis, Panagiotis G. and Cudré-Mauroux, Philippe (2015). The dynamics of micro-task crowdsourcing: the case of amazon MTurk. 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18 - 22 May 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2736277.2741685

  • Understanding malicious behavior in crowdsourcing platforms: the case of online surveys

    Gadiraju, Ujwal, Kawase, Ricardo, Dietze, Stefan and Demartini, Gianluca (2015). Understanding malicious behavior in crowdsourcing platforms: the case of online surveys. 33rd Annual CHI Conference on Human Factors in Computing Systems - CHI'15, Seoul, South Korea, 18 - 23 April 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2702123.2702443

  • B-hist: entity-centric search over personal web browsing history

    Catasta, Michele, Tonon, Alberto, Demartini, Gianluca, Ranvier, Jean-Eudes, Aberer, Karl and Cudre-Mauroux, Philippe (2014). B-hist: entity-centric search over personal web browsing history. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.websem.2014.07.003

  • Correct me if I'm wrong: fixing grammatical errors by preposition ranking

    Prokofyev, Roman, Mavlyutov, Ruslan, Grund, Martin, Demartini, Gianluca and Cudré-Mauroux, Philippe (2014). Correct me if I'm wrong: fixing grammatical errors by preposition ranking. 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM, Shanghai, China, 3 - 7 November 2014. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2661829.2661942

  • Effective named entity recognition for idiosyncratic web collections

    Prokofyev, Roman, Demartini, Gianluca and Cudré-Mauroux, Philippe (2014). Effective named entity recognition for idiosyncratic web collections. 23rd International Conference on World Wide Web, WWW 2014, Seoul, Korea , April 07 - 11, 2014 . New York, NY, USA: Association for Computing Machinery. doi: 10.1145/2566486.2568013

  • Hippocampus: answering memory queries using transactive search

    Catasta, Michele, Tonon, Alberto, Difallah, Djellel Eddine, Demartini, Gianluca, Aberer, Karl and Cudre-Mauroux, Philippe (2014). Hippocampus: answering memory queries using transactive search. International Conference on World Wide Web, Seoul, Korea, 7-11 April 2014. New York, NY, United States: ACM Press. doi: 10.1145/2567948.2576946

  • Scaling-up the crowd: micro-task pricing schemes for worker retention and latency improvement

    Difallah, Djellel Eddine, Catasta, Michele, Demartini, Gianluca and Cudré-Mauroux, Philippe (2014). Scaling-up the crowd: micro-task pricing schemes for worker retention and latency improvement. Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2014), Pittsburgh, PA, United States, 2 - 4 November 2014. Palo Alto, CA, United States: A A A I Press.

  • TransactiveDB: Tapping into collective human memories

    Catastay, Michele, Tonon, Alberto, Difallah, Djellel Eddine, Demartini, Gianluca, Aberery, Karl and CudreMauroux, Philippe (2014). TransactiveDB: Tapping into collective human memories. 3rd Workshop on Spatio-Temporal Database Management, STDBM 2006, Co-located with the 32nd International Conference on Very Large Data Bases, VLDB 2006, Seoul, Korea, September 11, 2006. New York, NY United States: Association for Computing Machinery.

  • CrowdQ: Crowdsourced Query Understanding

    Demartini, Gianluca , Trushkowsky, Beth , Kraska, Tim and Franklin, Michael (2013). CrowdQ: Crowdsourced Query Understanding. 6th Biennial Conference on Innovative Data Systems Research (CIDR 2013), Asilomar, CA, United States, 6-9 January 2013. Conference on Innovative Data Systems Research (CIDR).

  • Entity disambiguation in tweets leveraging user social profiles

    Yerva, Surender Reddy, Catasta, Michele, Demartini, Gianluca and Aberer, Karl (2013). Entity disambiguation in tweets leveraging user social profiles. 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013, San Francisco, CA, Unites States, 14 - 16 August 2013. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IRI.2013.6642462

  • Ontology-based word sense disambiguation for scientific literature

    Prokofyev, Roman, Demartini, Gianluca, Boyarsky, Alexey, Ruchayskiy, Oleg and Cudré-Mauroux, Philippe (2013). Ontology-based word sense disambiguation for scientific literature. 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, 24-27 March 2013. Berlin, Germany: Springer. doi: 10.1007/978-3-642-36973-5_50

  • Pick-a-crowd: tell me what you like, and I'll tell you what to do: a crowdsourcing platform for personalized human intelligence task assignment based on social networks

    Difallah, Djellel Eddine, Demartini, Gianluca and Cudré-Mauroux, Philippe (2013). Pick-a-crowd: tell me what you like, and I'll tell you what to do: a crowdsourcing platform for personalized human intelligence task assignment based on social networks. 22nd International Conference on World Wide Web, WWW 2013, Rio de Janeiro, Brazil, 13 - 17 May 2013. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2488388.2488421

  • TRank: ranking entity types using the web of data

    Tonon, Alberto, Catasta, Michele, Demartini, Gianluca, Mauroux, Philippe Cudre and Aberer, Karl (2013). TRank: ranking entity types using the web of data. 12th International Semantic Web Conference (ISWC), Sydney, Australia, 21-25 October, 2013. Berlin, Germany: Springer-Verlag. doi: 10.1007/978-3-642-41335-3_40

  • BowlognaBench-Benchmarking RDF analytics

    Demartini, Gianluca, Enchev, Iliya, Wylot, Marcin, Gapany, Joel and Cudre-Mauroux, Philippe (2012). BowlognaBench-Benchmarking RDF analytics. First International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2011), Campione D’Italia, Italy, 29 June - 1 July, 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-34044-4_5

  • Combining inverted indices and structured search for ad-hoc object retrieval

    Tonon, Alberto, Demartini, Gianluca and Cudré-Mauroux, Philippe (2012). Combining inverted indices and structured search for ad-hoc object retrieval. 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012, Portland, OR, United States, 12 - 16 August 2012. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2348283.2348304

  • Downscaling Entity Registries for Ad-Hoc Environments

    Cudré-Mauroux, Philippe , Demartini, Gianluca , Enchev, Iliya , Guéret, Christophe and Perroud, Benoit (2012). Downscaling Entity Registries for Ad-Hoc Environments. First International Workshop on Downscaling the Semantic Web co-located with the 9th Extended Semantic Web conference, Heraklion, Greece, May 2012.

  • Mechanical cheat: Spamming schemes and adversarial techniques on crowdsourcing platforms

    Difallah, Djellel Eddine, Demartini, Gianluca and Cudré-Mauroux, Philippe (2012). Mechanical cheat: Spamming schemes and adversarial techniques on crowdsourcing platforms. 1st International Workshop on Crowdsourcing Web Search, CrowdSearch 2012 - Workshop Held in Conjunction with WWW 2012 Conference, Lyon; France, April 17, 2012.

  • Predicting the future impact of news events

    Gaugaz, Julien, Siehndel, Patrick, Demartini, Gianluca, Iofciu, Tereza, Georgescu, Mihai and Henze, Nicola (2012). Predicting the future impact of news events. 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, 1-5 April 2012. Berlin, Germany: Springer. doi: 10.1007/978-3-642-28997-2_5

  • Tag recommendation for large-scale ontology-based information systems

    Prokofyev, Roman, Boyarsky, Alexey, Ruchayskiy, Oleg, Aberer, Karl, Demartini, Gianluca and Cudré-Mauroux, Philippe (2012). Tag recommendation for large-scale ontology-based information systems. International Semantic Web Conference, Boston, MA, USA, November 11-15, 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35173-0-22

  • ZenCrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking

    Demartini, Gianluca, Difallah, Djellel Eddine and Cudré-Mauroux, Philippe (2012). ZenCrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. 21st Annual Conference on World Wide Web, WWW'12, Lyon, France, 16-20 April 2012. New York, NY, United States: ACM. doi: 10.1145/2187836.2187900

  • ARES: A Retrieval Engine based on Sentiments: sentiment-based search result annotation and diversification

    Demartini, Gianluca (2011). ARES: A Retrieval Engine based on Sentiments: sentiment-based search result annotation and diversification. 33rd European Conference on Information Retrieval (ECIR 2011), Dublin, Ireland, 18-21 April, 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-20161-5_91

  • An Integrated Socio-Technical Crowdsourcing Platform for Accelerating Returns in eScience

    Aberer, Karl, Boyarsky, Alexey, Cudré-Mauroux, Philippe, Demartini, Gianluca and Ruchayskiy, Oleg (2011). An Integrated Socio-Technical Crowdsourcing Platform for Accelerating Returns in eScience. 10th International Semantic Web Conference (ISWC 2011 - Outrageous Ideas), Bonn, Germany, October 2011.

  • Analyzing Political Trends in the Blogosphere

    Demartini, Gianluca , Siersdorfer, Stefan , Chelaru, Sergiu and Nejdl, Wolfgang (2011). Analyzing Political Trends in the Blogosphere. Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), Barcelona, Spain, July 2011. AAAI Press.

  • ReFER: effective relevance feedback for entity ranking

    Iofciu, Tereza, Demartini, Gianluca, Craswell, Nick and de Vries, Arjen P. (2011). ReFER: effective relevance feedback for entity ranking. 33rd European Conference on Information Retrieval (ECIR 2011), Dublin, Ireland, 18-21 April, 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-20161-5_26

  • ScienceWISE: A Web-based Interactive Semantic Platform for Scientific Collaboration

    Cudré-Mauroux, Philippe, Demartini, Gianluca, Eddine Difallah, Djellel, Elsayed Mostafa, Ahmed, Russo, Vincenzo and Thomas, Matthew (2011). ScienceWISE: A Web-based Interactive Semantic Platform for Scientific Collaboration. 10th International Semantic Web Conference (ISWC 2011 - Demo), Bonn, Germany, October 2011.

  • Visual interfaces for stimulating exploratory search

    Krestel, Ralf, Demartini, Gianluca and Herder, Eelco (2011). Visual interfaces for stimulating exploratory search. 11th annual international ACM/IEEE joint conference on Digital libraries, Ottawa, Ontario, Canada , June 13 - 17, 2011 . Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1145/1998076.1998151

  • Dear search engine: What's your opinion about...? Sentiment analysis for semantic enrichment of web search results

    Demartini, Gianluca and Siersdorfer, Stefan (2010). Dear search engine: What's your opinion about...? Sentiment analysis for semantic enrichment of web search results. 3rd International Semantic Search Workshop, SEMSEARCH '10, Co-located with the 19th International World Wide Web (WWW) Conference 2010, North Carolina, USA, April 26, 2010. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/1863879.1863883

  • Entity Summarization of News Articles

    Demartini, Gianluca, Missen, Malik Muhammad Saad, Blanco, Roi and Zaragoza, Hugo (2010). Entity Summarization of News Articles. 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva Switzerland, Jul 19-23, 2010. New York, NY, USA: ASSOC COMPUTING MACHINERY. doi: 10.1145/1835449.1835620

  • Exploiting Click-Through Data for Entity Retrieval

    Billerbeck, Bodo, Demartini, Gianluca, Firan, Claudiu S., Iofciu, Tereza and Krestel, Ralf (2010). Exploiting Click-Through Data for Entity Retrieval. 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva Switzerland, Jul 19-23, 2010. New York, NY, USA: ASSOC COMPUTING MACHINERY. doi: 10.1145/1835449.1835624

  • Overview of the INEX 2009 entity ranking track

    Demartini, Gianluca, Iofciu, Tereza and De Vries, Arjen P. (2010). Overview of the INEX 2009 entity ranking track. 8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, Brisbane, AUSTRALIA, December 7-9, 2009. doi: 10.1007/978-3-642-14556-8_26

  • Ranking Entities Using Web Search Query Logs

    Billerbeck, Bodo, Demartini, Gianluca, Firan, Claudiu S., Iofciu, Teresa and Krestel, Ralf (2010). Ranking Entities Using Web Search Query Logs. 14th European Conference on Research and Advanced Technology for Digital Libraries, Glasgow Scotland, Sep 06-10, 2010. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-642-15464-5_28

  • TAER : time-aware entity retrieval-exploiting the past to find relevant entities in news articles

    Demartini, Gianluca, Missen, Malik Muhammad Saad, Blanco, Roi and Zaragoza, Hugo (2010). TAER : time-aware entity retrieval-exploiting the past to find relevant entities in news articles. 19th ACM international conference on Information and knowledge management, Toronto, ON, Canada , October 26 - 30, 2010 . New York, New York, USA: ACM Press. doi: 10.1145/1871437.1871661

  • The missing links : discovering hidden same-as links among a billion of triples

    Papadakis, George, Demartini, Gianluca, Fankhauser, Peter and Kärger, Philipp (2010). The missing links : discovering hidden same-as links among a billion of triples. 12th International Conference on Information Integration and Web-based Applications & Services, Paris, France, November 08 - 10, 2010 . New York, New York, USA: ACM Press. doi: 10.1145/1967486.1967557

  • A Vector Space Model for Ranking Entities and Its Application to Expert Search

    Demartini, Gianluca, Gaugaz, Julien and Nejdl, Wolfgang (2009). A Vector Space Model for Ranking Entities and Its Application to Expert Search. 31st European Conference on Information Research, Toulouse France, Apr 06-09, 2009. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-642-00958-7_19

  • An architecture for finding entities on the web

    Demartini, Gianluca, Firan, Claudiu S., Georgescu, Mihai, Iofciu, Tereza, Krestel, Ralf and Nejdl, Wolfgang (2009). An architecture for finding entities on the web. 7th Joint LA-WEB/CLIHC Conference 2009, Merida Mexico, Nov 09-11, 2009. doi: 10.1109/LA-WEB.2009.14

  • Current approaches to search result diversification

    Minack, Enrico , Demartini, Gianluca and Nejdl, Wolfgang (2009). Current approaches to search result diversification. 1st International Workshop on Living Web: Making Web Diversity a true asset at ISWC 2009, Washington, DC, United States, October 2009.

  • How to Trace and Revise Identities

    Gaugaz, Julien, Zakrzewski, Jakub, Demartini, Gianluca and Nejdl, Wolfgang (2009). How to Trace and Revise Identities. 6th European Sematic Web Conference, Heraklion Greece, May 31-Jun 04, 2009. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-642-02121-3_32

  • L3S at INEX 2008: Retrieving Entities Using Structured Information

    Craswell, Nick, Demartini, Gianluca, Gaugaz, Julien and Iofciu, Tereza (2009). L3S at INEX 2008: Retrieving Entities Using Structured Information. 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, Dagstuhl Germany, Dec 15-18, 2008. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-642-03761-0_26

  • Time based tag recommendation using direct and extended users sets

    Iofciu, Tereza and Demartini, Gianluca (2009). Time based tag recommendation using direct and extended users sets. International Workshop on Discovery Challenge, DC 2009 at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2009, Bled, Slovenia, September 7, 2009. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.

  • A model for Ranking entities and its application to Wikipedia

    Demartini, Gianluca, Firan, Claudiu S., Iofciu, Tereza, Krestel, Ralf and Nejdl, Wolfgang (2008). A model for Ranking entities and its application to Wikipedia. 6th Latin American Web Conference, Vitoria Brazil, Oct 28-30, 2008. doi: 10.1109/LA-WEB.2008.8

  • Comparing People in the Enterprise

    Demartini, Gianluca (2008). Comparing People in the Enterprise. 10th International Conference on Enterprise Information Systems, Barcelona Spain, Jun 12-16, 2008. INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION.

  • Entity identifiers for lineage preservation

    Gaugaz, Julien and Demartini, Gianluca (2008). Entity identifiers for lineage preservation. 1st International Workshop on Identity and Reference on the Semantic Web, IRSW 2008, Tenerife, Spain, June 2 2008. Aachen, Germany: Lehrstuhl Informatik V, Rheinisch-Westfaelische Technische Hochschule Aachen.

  • Evaluating Personal Information Management Using an Activity Logs Enriched Desktop Dataset

    Chernov, Sergey , Demartini, Gianluca , Herder, Eelco , Kopycki, Michał and Nejdl, Wolfgang (2008). Evaluating Personal Information Management Using an Activity Logs Enriched Desktop Dataset. "Personal Information Management Workshop at CHI 2008" PIM 2008, Florence, Italy, April, 2008.

  • Evaluating Relation Retrieval for Entities and Experts

    Zhu, Jianhan, de Vries, Arjen P., Demartini, Gianluca and Iofciu, Tereza (2008). Evaluating Relation Retrieval for Entities and Experts. Future Challenges in Expertise Retrieval (fCHER 2008), SIGIR 2008 Workshop, Singapore, 24 July 2008. New York, NY United States: Association for Computing Machinery.

  • Finding experts on the semantic desktop

    Demartini, Gianluca and Niederée, Claudia (2008). Finding experts on the semantic desktop. 3rd Expert Finder Workshop on Personal Identification and Collaborations: Knowledge Mediation and Extraction, PICKME 2008, Karlsruhe, Germany, October 27 2008. Aachen, Germany: Lehrstuhl Informatik V, Rheinisch-Westfaelische Technische Hochschule Aachen.

  • How Many Experts? - A New Task for Enterprise Search Evaluation

    Demartini, Gianluca (2008). How Many Experts? - A New Task for Enterprise Search Evaluation. Workshop on Novel Methodologies for Evaluation in Information Retrieval at the 30th European Conference on IR Research, ECIR 2008, Glasgow, Scotland, April, 2008.

  • L3S at INEX 2007: Query Expansion for Entity Ranking Using a Highly Accurate Ontology

    Demartini, Gianluca, Firan, Claudiu S. and Iofciu, Tereza (2008). L3S at INEX 2007: Query Expansion for Entity Ranking Using a Highly Accurate Ontology. 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, Dagstuhl Germany, Dec 17-19, 2007. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-540-85902-4_23

  • Ranking categories for web search

    Demartini, Gianluca, Chirita, Paul-Alexandru, Brunkhorst, Ingo and Nejdl, Wolfgang (2008). Ranking categories for web search. 30th European Conference on Information Retrieval (ECIR 2008), Glasgow Scotland, Mar 30-Apr 03, 2008. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-540-78646-7_56

  • Semantically Enhanced Entity Ranking

    Demartini, Gianluca, Firan, Claudiu S., Iofciu, Tereza and Nejdl, Wolfgang (2008). Semantically Enhanced Entity Ranking. International Workshop on Web Information Systems Engineering (WISE 2008), Auckland New Zealand, Sep 01-04, 2008. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-540-85481-4_15

  • Social recommendations of content and metadata

    Stecher, Rodolfo, Demartini, Gianluca and Niederée, Claudia (2008). Social recommendations of content and metadata. 10th International Conference on Information Integration and Web-based Applications & Services, Linz, Austria, 24 - 26 November 2008. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/1497308.1497329

  • Building a desktop search test-bed

    Chernov, Sergey, Serdyukov, Pavel, Chirita, Paul-Alexandru, Demartini, Gianluca and Nejdl, Wolfgang (2007). Building a desktop search test-bed. 29th European Conference in Information Retrieval Research (ECIR 2007), Rome Italy, Apr 02-05, 2007. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-540-71496-5_69

  • Finding Experts Using Wikipedia

    Demartini, Gianluca (2007). Finding Experts Using Wikipedia. "Finding Experts on the Web with Semantics Workshop at ISWC 2007 + ASWC 2007" FEWS 2007, Busan, South Korea, November, 2007..

  • Leveraging semantic technologies for enterprise search

    Demartini, Gianluca (2007). Leveraging semantic technologies for enterprise search. International Conference on Information and Knowledge Management, Lisbon, Portugal , November 09 - 09, 2007 . New York, NY, USA: ACM. doi: 10.1145/1316874.1316879

  • A classification of IR effectiveness metrics

    Demartini, Gianluca and Mizzaro, Stefano (2006). A classification of IR effectiveness metrics. European Conference on Information Retrieval ECIR 2006, London, United Kingdom , April 10-12, 2006. Heidelberg, Germany: Springer. doi: 10.1007/11735106_48

  • Experiments on average distance measure

    Della Mea, Vincenzo, Demartini, Gianluca, Di Gaspero, Luca and Mizzaro, Stefano (2006). Experiments on average distance measure. 28th European Conference on IR research, ECIR 2006, London, United Kingdom, 10-12 April 2006. Berlin, Germany: Springer.

  • L3S research center at TREC 2006 enterprise track

    Chernov, Sergey, Demartini, Gianluca and Gaugaz, Julien (2006). L3S research center at TREC 2006 enterprise track. 15th Text REtrieval Conference, TREC 2006, Gaithersburg, MD; United States, November 14-17, 2006.

Other Outputs

  • UQ Single Column Format Inconsistency Datasets

    Demartini, Gianluca, Chen, Tianwa, Sadiq, Shazia, Fan, Shaoyang, Xu, Jiechen, Han, Lei and Yu, Shaochen (2023). UQ Single Column Format Inconsistency Datasets. The University of Queensland. (Dataset) doi: 10.48610/0ab54e7

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

Completed Supervision

This staff member is a UQ Expert for media in the following fields:

Big data, Crowdsourcing, Human Computation, Text Analytics, Knowledge Graphs, Data Analytics, Data Science, Misinformation, Disinformation, Fake News, Artificial Intelligence, AI, AI for Good

They are happy to lend their expertise to your articles or broadcasts and share their research discoveries and insights with the community via media channels.

For additional assistance with story ideas, general advice and information or help with seeking further experts, please email the UQ Media Team or telephone (07) 3365 1120.

Links

ResearcherID: G-4635-2012

ORCID: 0000-0002-7311-3693

Scopus ID: 23087954800

Google Scholar ID: PCAiILsAAAAJ

Personal Profile: Link

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