Gianluca Demartini, Ph.D.
School of Information Technology and Electrical Engineering,
University of Queensland
St Lucia
QLD 4072 Australia
Office: +61 7 336 58325
demartini@acm.org
Dr. Gianluca Demartini is an Associate Professor in Data Science at the University of Queensland, School of Electrical Engineering and Computer Science. His main research interests are Information Retrieval, Semantic Web, and Human Computation. His research has been supported by the Australian Research Council (ARC), the Swiss National Science Foundation (SNSF), the EU H2020 framework program, the UK Engineering and Physical Sciences Research Council (EPSRC), Facebook, Google, and the Wikimedia Foundation. He received Best Paper Awards at the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) in 2023, AAAI Conference on Human Computation and Crowdsourcing (HCOMP) in 2018 and at the European Conference on Information Retrieval (ECIR) in 2016, the Best Short Paper Award at ECIR in 2020 and the Best Demo Award at the International Semantic Web Conference (ISWC) in 2011. He has published more than 200 peer-reviewed scientific publications including papers at major venues such as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI. He has given several invited talks, tutorials, and keynotes at a number of academic conferences (e.g., ISWC, ICWSM, WebScience, and the RuSSIR Summer School), companies (e.g., Facebook), and Dagstuhl seminars. He is a senior member of the ACM since 2020, an ACM Distinguished Speaker since 2015, and has been a TEDx speaker in 2019. He serves as associate editor for the Transactions on Graph Data and Knowledge (TGDK) Journal and as an editorial board member for the Information Retrieval journal. He is a steering committee member for the AAAI HCOMP conference. He was PC Chair for the ACM Conference on Research and Development in Information Retrieval (SIGIR) in 2022. He was General co-Chair for the ACM International Conference on Information and Knowledge Management (CIKM) 2021. He was Crowdsourcing and Human Computation Track co-Chair at WWW 2018 and co-chair for the Human Computation and Crowdsourcing Track at ESWC 2015. He has been Senior Program Committee member for, among others, the ACM Conference on Research and Development in Information Retrieval (SIGIR), the ACM Web Search and Data Mining (WSDM) Conference, the International Joint Conference on Artificial Intelligence (IJCAI), the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), and the International Conference on Web Engineering (ICWE). He co-organized several workshops and tutorials at international conferences as well as the Entity Ranking Track at the Initiative for the Evaluation of XML Retrieval in 2008 and 2009. 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.
Publication List
2024
- Alejandro Sierra-Múnera, Linh Le, Gianluca Demartini, and Ralf Krestel. MELArt: A Multimodal Entity Linking Dataset for Art.
In: Transactions on Graph Data and Knowledge (TGDK) Special Issue: Resources. December 2024.
- Pietro Bernardelle and Gianluca Demartini. Optimizing LLMs with Direct Preferences: A Data Efficiency Perspective.
In: The 2nd International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP 2024). Tokyo, Japan, December 2024.
- Hrishi Patel, Tianwa Chen, Ivano Bongiovanni, and Gianluca Demartini. Estimating Gender Completeness in Wikipedia.
In: The Australasian Conference on Information Systems (ACIS 2024). Canberra, Australia, December 2024.
- Hui Zhou, Gianluca Demartini, Marta Indulska, and Shazia Sadiq. Influence of Metadata on Quality Evaluation of Unstructured Information Artefacts.
In: The Australasian Conference on Information Systems (ACIS 2024). Canberra, Australia, December 2024.
- Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, and Hongzhi Yin. Hate Speech Detection with Generalizable Topic-aware Fairness.
In: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD'24). Barcelona, Spain, August 2024.
[pdf] - Linh Le, Minh-Tien Nguyen, Khai Phan Tran, Genghong Zhao, Zhang Xia, Guido Zuccon, and Gianluca Demartini. Stochastic Featurization for Active Learning.
In: The Second International Workshop on Trustworthy Artificial Intelligence for Healthcare (TAI4H) co-located with the 2024 International Joint Conference on Artificial Intelligence. Jeju, Korea, August 2024.
[pdf] - Michael Soprano, Kevin Roitero, Ujwal Gadiraju, Eddy Maddalena, and Gianluca Demartini. Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms.
In: The ACM Transaction on Social Computing (ACM TSC). June 2024.
[pdf] - Hongliang Ni, Lei Han, Tong Chen, Shazia Sadiq, and Gianluca Demartini. Fairness without Sensitive Attributes via Knowledge Sharing.
In: The Seventh Annual ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT '24). Rio de Janeiro, Brazil, June 2024.
[pdf] - Jiechen Xu, Lei Han, Shazia Sadiq, and Gianluca Demartini. On the Role of Large Language Models in Crowdsourcing Misinformation Assessment.
In: The 18th International AAAI Conference on Web and Social Media (ICWSM 2024). Buffalo, NY, USA, June 2024.
[pdf] - Evgenia Christoforou, Gianluca Demartini, and Jahna Otterbacher. Generative AI in Crowdwork for Web and Social Media Research: A Survey of Workers at Three Platforms.
In: The 18th International AAAI Conference on Web and Social Media (ICWSM 2024) - Poster Track. Buffalo, NY, USA, June 2024.
[pdf] - David La Barbera, Eddy Maddalena, Michael Soprano, Kevin Roitero, Gianluca Demartini, Davide Ceolin, Damiano Spina, and Stefano Mizzaro. Crowdsourced Fact-Checking: Does It Actually Work?.
In: Information Processing & Management (IPM), Elsevier. May 2024.
[pdf] - Catherine Sai, Shazia Sadiq, Lei Han, Gianluca Demartini, and Stefanie Rinderle-Ma. Which Legal Requirements are Relevant to a Business Process? Comparing AI-driven Methods as Expert Aid.
In: The 18th International Conference on Research Challenges in Information Science (RCIS 2024). Guimaraes, Portugal, May 2024.
[pdf] - Elyas Meguellati, Lei Han, Abraham Bernstein, Shazia Sadiq, and Gianluca Demartini. How Good are LLMs in Generating Personalized Advertisements?.
In: The 2024 ACM Web Conference (Short Paper track). Singapore, May 2024.
[pdf] - Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Gianluca Demartini, and Stefano Mizzaro. Cognitive Biases in Fact-Checking and Their Countermeasures: A Review.
In: Information Processing & Management (IPM), Vol. 61, No. 3, Elsevier. May 2024.
[pdf] - Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, and Gianluca Demartini. CoLAL: Co-learning Active Learning for Text Classification.
In: The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24). Vancouver, Canada, February 2024.
[pdf] - Jiechen Xu, Lei Han, Shazia Sadiq, and Gianluca Demartini. On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments.
In: Transactions on Information Systems (TOIS). 2024.
[pdf] - Guglielmo Faggioli, Laura Dietz, Charles Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthast, Benno Stein, and Henning Wachsmuth. Who determines what is relevant? Humans or AI? Why not both!.
In: Communications of the ACM (CACM), Vol. 67, No. 4, April 2024.
[pdf] - Gianluca Demartini, Kevin Roitero, and Stefano Mizzaro. Data Bias Management.
In: Communications of the ACM (CACM), Vol. 67, No. 1, January 2024.
[pdf]
2023
- Tianwa Chen, Gianluca Demartini, Marta Indulska, and Shazia Sadiq. Exploring Data Workers' Behaviours in Data Quality Discovery.
In: The 34th Australasian Conference on Information Systems (ACIS 2023). Wellington, New Zealand, December 2023.
- Ang Li, Stephen Viller, Gianluca Demartini, and Maxime Cordeil. A Visual Survey of In-Situ Running Analytics.
In: The 2023 IEEE Visualization and Visual Analytics Conference (IEEE VIS 2023), Poster track. Melbourne, Australia, October 2023.
- Guglielmo Faggioli, Laura Dietz, Charles Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthast, Benno Stein, and Henning Wachsmuth. Perspectives on Large Language Models for Relevance Judgment.
In: The 13th International Conference on the Theory of Information Retrieval (ICTIR 2023). Taipei, Taiwan, July 2023. Best paper award (Top 1.4% of all submissions).
[pdf] - Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, and Tetsuya Sakai. How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments.
In: ACM Transactions on Information Systems (TOIS). 2023.
[pdf] - Linh Le, Guido Zuccon, Gianluca Demartini, and Geng Hong Zhao. Active Learning with Feature Matching for Clinical Named Entity Recognition.
In: Natural Language Processing Journal, Elsevier. 2023.
[pdf] - Aki Barry, Lei Han, and Gianluca Demartini. On the Impact of Data Quality on Image Classification Fairness.
In: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023) - Short paper track. Taipei, Taiwan, July 2023.
[pdf] - Damiano Spina, Mark Sanderson, Daniel Angus, Gianluca Demartini, Dana McKay, Lauren L. Saling, and Ryen W. White. Human-AI Cooperation to Tackle Misinformation and Polarization.
In: Communications of the ACM (CACM), Volume 66, Issue 7, pp 40-45. July 2023.
[pdf] - Ryan Harvey, Rémi Lebret, Stéphane Massonnet, Karl Aberer, and Gianluca Demartini. Firearms On Twitter: A Novel Object Detection Pipeline.
In: The 17th International AAAI Conference on Web and Social Media (ICWSM 2023) - Poster Track. Limassol, Cyprus, June 2023.
[pdf] - Shaochen Yu, Lei Han, Marta Indulska, Shazia Sadiq, and Gianluca Demartini. Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency.
In: 32nd ACM International World Wide Web Conference (TheWebConf 2023) - Research Track. Austin, Texas, USA, April 2023.
[pdf] - Luca Righes, Mohammed Saeed, Gianluca Demartini and Paolo Papotti. The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice?.
In: 32nd ACM International World Wide Web Conference (TheWebConf 2023) - Poster and Demo Track. Austin, Texas, USA, April 2023.
[pdf] - Jiechen Xu, Lei Han, Shazia Sadiq, and Gianluca Demartini. On the role of Human and Machine Metadata in Relevance Judgment Tasks.
In: Information Processing & Management (IPM), Elsevier. 2023.
[pdf]
2022
- Lei Han, Tianwa Chen, Gianluca Demartini, Marta Indulska, and Shazia Sadiq. A Data-Driven Analysis of Behaviors in Data Curation Processes.
In: ACM Transactions on Information Systems (TOIS). 2022.
[pdf] - Sara Ceschia, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Luca Di Gaspero, Andrea Schaerf. Task Design in Complex Crowdsourcing Experiments: Item Assignment Optimization.
In: Computers and Operations Research, Elsevier. 2022.
[pdf] - Hatim Lahza, Hassan Khosravi, and Gianluca Demartini. Analytics of Learning Tactics and Strategies in an Online Learnersourcing Environment.
In: The Journal of Computer Assisted Learning (JCAL), Wiley. 2022.
[pdf] - Linh Le, Guido Zuccon, Gianluca Demartini, Genghong Zhao, and Xia Zhang. Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.
In: The American Medical Informatics Association (AMIA) 2022 Annual Symposium. Washington, D.C., USA, November 2022.
[pdf] - Ajay Hemanth Sampath Kumar, Aminath Shausan, Gianluca Demartini, and Afshin Rahimi. Automatic Identification of 5C Vaccine Behaviour on Social Media.
In: The 8th Workshop on Noisy User-generated Text (W-NUT) co-located with the 29th International Conference on Computational Linguistics (COLING 2022). Gyeongju, Republic of Korea, October 2022.
[pdf] - Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, and Paolo Papotti. Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?.
In: The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022). Atlanta, Georgia, USA, October 2022.
[pdf] - Periklis Perikleous, Andreas Kafkalias, Zenonas Theodosiou, Pınar Barlas, Evgenia Christoforou, Jahna Otterbacher, Gianluca Demartini, and Andreas Lanitis. How Does the Crowd Impact the Model? A tool for raising awareness of social bias in crowdsourced training data.
In: The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) - Demo track. Atlanta, Georgia, USA, October 2022.
[pdf] - Hui Zhou, Lei Han, Gianluca Demartini, Marta Indulska, and Shazia Sadiq. A Behavioural Analysis of Metadata Use in Evaluating the Quality of Repurposed Data.
In: The 41st International Conference on Conceptual Modeling (ER 2022). October 2022.
[pdf] - David La Barbera, Kevin Roitero, Joel Mackenzie, Damiano Spina, Gianluca Demartini, and Stefano Mizzaro. BUM at CheckThat! 2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval.
In: The CLEF 2022 Conference and Labs of the Evaluation Forum - CheckThat! - Lab on Fighting the COVID-19 Infodemic and Fake News Detection, Bologna, Italy. September 2022.
[pdf] - Hatim Lahza, Hassan Khosravi, and Gianluca Demartini. Incorporating AI and Analytics Techniques to Derive Insights from E-exam logs.
In: The 23rd International Conference on Artificial Intelligence in Education, Durham, UK. July 2022.
[pdf] - Erik Brand, Kevin Roitero, Michael Soprano, Ashfin Rahimi, and Gianluca Demartini. A Neural Model to Jointly Predict and Explain Truthfulness of Statements.
In: ACM Journal of Data and Information Quality (JDIQ) Special Issue on Trust and Truth Online. June 2022.
[pdf] - Yunke Qu, Kevin Roitero, David La Barbera, Damiano Spina, Stefano Mizzaro, and Gianluca Demartini. Combining Human and Machine Confidence in Truthfulness Assessment.
In: ACM Journal of Data and Information Quality (JDIQ) Special Issue on Trust and Truth Online. June 2022.
[pdf] - Shaoyang Fan, Pınar Barlas, Evgenia Christoforou, Jahna Otterbacher, Shazia Sadiq, and Gianluca Demartini. Socio-Economic Diversity in Human Annotations.
In: The 14th ACM Web Science Conference 2022, Barcelona, Spain. June 2022.
[pdf] - Shaoyang Fan, Lei Han, Gianluca Demartini, and Shazia Sadiq. Exploring Data Literacy Levels in the Crowd -- The Case of COVID-19.
In: The 16th International AAAI Conference on Web and Social Media (ICWSM), Atlanta, Georgia, US. June 2022.
[pdf] - Jiechen Xu, Lei Han, Shaoyang Fan, Shazia Sadiq, and Gianluca Demartini. Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?.
In: 31st ACM International World Wide Web Conference (TheWebConf 2022) - Poster track. April 2022.
[pdf] - Shaochen Yu, Tianwa Chen, Lei Han, Gianluca Demartini, and Shazia Sadiq. DataOps-4G: On Supporting Generalists in Data Quality Discovery.
In: IEEE Transactions on Knowledge and Data Engineering (TKDE). 2022.
[pdf] - Kevin Roitero, Alessandro Checco, Stefano Mizzaro, and Gianluca Demartini. Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments.
In: 31st ACM International World Wide Web Conference (TheWebConf 2022). April 2022.
[pdf] - Hatim Lahza, Hassan Khosravi, Gianluca Demartini, and Dragan Gasevic. Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing.
In: 12th International Conference on Learning Analytics and Knowledge (LAK22). March 2022.
[pdf] - Shazia Sadiq, Amir Aryani, Gianluca Demartini, Wen Hua, Marta Indulska, Andrew Burton Jones, Hassan Khosravi, Diana Benavides Prado, Timos Sellis, Ida Asadi Someh, Rhema Vaithianathan, Sen Wang, and Xiaofang Zhou. Information Resilience: The Nexus of Responsible and Agile Approaches to Information Use.
In: The International Journal on Very Large Data Bases (VLDBJ), Springer. 2022.
[pdf]
2021
- Lei Han, Rudra Sawant, Shaoyang Fan, Glenn Kefford, and Gianluca Demartini. An Analysis of the Australian Political Discourse in Sponsored Social Media Content.
In: Proceedings of the 25th Australasian Document Computing Symposium (ADCS 2021). December 2021.
[pdf] - Rudra Sawant, Gianluca Demartini, and Tom Bridge. Hierarchical Clustering of Corals using Image Clustering.
In: Proceedings of the 25th Australasian Document Computing Symposium (ADCS 2021). December 2021.
[pdf] - Hui Zhou, Gianluca Demartini, Marta Indulska, and Shazia Sadiq. Evaluating the quality of repurposed data - The Role of Metadata.
In: Proceedings of the 32nd Australasian Conference on Information Systems (ACIS 2021). December 2021.
[pdf] - Lei Han, Xiao Dong, and Gianluca Demartini. Iterative Human-in-the-Loop Discovery of Unknown Unknowns in Image Datasets.
In: Proceedings of the 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021). November 2021.
[pdf] - Gianluca Demartini, Kevin Roitero, and Stefano Mizzaro. Bias Management in Crowdsourced Data: Moving Beyond Bias Removal.
In: The CSCW 21 Workshop - Investigating and Mitigating Biases in Crowdsourced Data. October 2021.
[pdf] - Erik Brand, Kevin Roitero, Michael Soprano, and Gianluca Demartini. E-BART: Jointly Predicting and Explaining Truthfulness.
In: Proceedings of the 3rd Conference for Truth and Trust Online (TTO 2021). October 2021.
[pdf] - Yunke Qu, Kevin Roitero, Stefano Mizzaro, Damiano Spina, and Gianluca Demartini. Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence.
In: Proceedings of the 3rd Conference for Truth and Trust Online (TTO 2021). October 2021.
[pdf] - Jorge Ramirez, Burcu Sayin, Marcos Baez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, and Gianluca Demartini. On the State of Reporting in Crowdsourcing Experiments and a Checklist to Aid Current Practices.
In: Proceedings of the ACM on Human-Computer Interaction (PACMHCI), presented at the 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021). October 2021. Methods Recognition (intended to recognize significant methodological advances or prime examples of good methods implementation)
[pdf] - Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, and Gianluca Demartini. The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale.
In: Information Processing & Management (IPM), Elsevier. August 2021.
[pdf] - Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, and Gianluca Demartini. Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19.
In: Special Issue on Intelligent Systems for Tackling Online Harms in the Personal and Ubiquitous Computing Journal, Springer. July 2021.
[pdf] - Linh Le, Tien Nguyen, Gianluca Demartini, and Guido Zuccon. Loss-based Active Learning for Named Entity Recognition.
In: International Joint Conference on Neural Networks (IJCNN 2021). July 2021.
[pdf] - Hassan Khosravi, Gianluca Demartini, Shazia Sadiq, and Dragan Gasevic. Charting the Design and Analytics Agenda of Learnersourcing Systems: Data-Driven Reflections and Lessons Learned from Implementation of a Learnersourced Adaptive Educational System.
In: 11th International Conference on Learning Analytics and Knowledge (LAK21). April 2021.
[pdf] - Jaiden Harding, Tom Bridge, and Gianluca Demartini. CoralExp: An Explainable System to Support Coral Taxonomy Research.
In: The 43rd edition of the annual BCS-IRSG European Conference on Information Retrieval (ECIR 2021) - Demo track. Lucca, Italy, March 2021.
[pdf] - Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, and Gianluca Demartini. Evaluating the Quality of Learning Resources: A Learnersourcing Approach.
In: IEEE Transactions on Learning Technologies (TLT). February 2021.
[pdf]
2020
- Lei Han, Alessandro Checco, Djellel E. Difallah, Gianluca Demartini, and Shazia Sadiq. Modelling User Behavior Dynamics with Embeddings.
In: 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). Galway, Ireland, October 2020.
[pdf] - Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, and Gianluca Demartini. The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?.
In: 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). Galway, Ireland, October 2020.
[pdf] - Shaoyang Fan, Ujwal Gadiraju, Alessandro Checco, and Gianluca Demartini. CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing.
In: Proceedings of the ACM on Human-Computer Interaction (PACMHCI) Vol.4, No. CSCW2, presented at the 23rd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2020). October 2020. Honorable Mention Award (Top 2% of all submissions).
[pdf] - Gianluca Demartini, Stefano Mizzaro, Damiano Spina. Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities.
In: The Bulletin of the Technical Committee on Data Engineering, Vol. 43 No. 3. September 2020.
[pdf] - Wasim Ahmed, Peter Bath, Laura Sbaffi, and Gianluca Demartini. Understanding reactions to swine flu, Ebola, and the Zika virus using Twitter data: an outlook for future infectious disease outbreaks.
In: 18th International Symposium for Health Information Management Research (ISHIMR). September 2020.
[pdf] - Xiao Dong, Huaxiang Zhang, and Gianluca Demartini. A Region Selection Model to Identify Unknown Unknowns in Image Datasets.
In: 24th European Conference on Artificial Intelligence (ECAI). Santiago de Compostela, Spain, August 2020.
[pdf] - Humaira Ehsan, Mohamed A. Sharaf, and Gianluca Demartini. QuRVe: Query Refinement for View Recommendation in Visual Data Exploration.
In: 24th European Conference on Advances in Databases and Information Systems (ADBIS). Lyon, France, August 2020.
[pdf] - Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro and Gianluca Demartini. Can The Crowd Identify Misinformation Objectively? The Effects of Judgments Scale and Assessor's Bias.
In: The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). Xi'an, China, July 2020.
[pdf] - Lei Han, Tianwa Chen, Gianluca Demartini, Marta Indulska, and Shazia Sadiq. On Understanding Data Worker Interaction Behaviors.
In: The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). Xi'an, China, July 2020.
[pdf] - Wasim Ahmed, Peter A. Bath, Laura Sbaffi, and Gianluca Demartini. Zika Outbreak of 2016: Insights from Twitter.
In: 22nd International Conference On Human-Computer Interaction. Copenhagen, Denmark, July 2020.
[pdf] - Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, François Charoy, Marina Danilevsky, Gianluca Demartini, Abhishek Dubey, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, and Koichiro Yoshida. Making AI Machines Work for Humans in FoW.
In: SIGMOD Record, June 2020 (Vol. 49, No. 2). June 2020.
[pdf] - Tianwa Chen, Lei Han, Gianluca Demartini, Marta Indulska, and Shazia Sadiq. Building Data Curation Processes with Crowd Intelligence.
In: 32nd International Conference on Advanced Information Systems Engineering (CAiSE) Forum. Grenoble, France, June 2020.
[pdf] - Alessandro Checco, Jo Bates, and Gianluca Demartini. Adversarial Attacks on Crowdsourcing Quality Control.
In: Journal of Artificial Intelligence Research (JAIR). 2020.
[pdf] - David La Barbera, Kevin Roitero, Damiano Spina, Stefano Mizzaro, and Gianluca Demartini. Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias.
In: The 42nd European Conference on Information Retrieval (ECIR 2020). Lisbon, Portugal, April 2020. Best Short Paper Award (Top 0.6% of all submissions).
[pdf] [video] - Md Mostafizur Rahman, Atsuhiro Takasu, and Gianluca Demartini. Representation Learning for Entity Type Ranking.
In: The 35th ACM/SIGAPP Symposium On Applied Computing (SAC 2020). Brno, Czech Republic, March 2020.
[pdf] - Lei Han, Eddy Maddalena, Alessandro Checco, Cristina Sarasua, Ujwal Gadiraju, Kevin Roitero, and Gianluca Demartini. Crowd Worker Strategies in Relevance Judgment Tasks.
In: 13th ACM International Conference on Web Search and Data Mining (WSDM 2020). Houston, TX, USA, February 2020.
[pdf]
2019
- Pierre Bourhis, Gianluca Demartini, Shady Elbassuoni, Emile Hoareau, H. Raghav Rao. Ethical Challenges in the Future of Work.
In: The Bulletin of the Technical Committee on Data Engineering, Vol. 42 No. 4. December 2019.
[pdf] - Lei Han, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, and Gianluca Demartini. On Transforming Relevance Scales.
In: The 28th ACM International Conference on Information and Knowledge Management (CIKM). Beijing, China, November 2019.
[pdf] - Jimmy, Guido Zuccon, Bevan Koopman, and Gianluca Demartini. Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods.
In: The 28th ACM International Conference on Information and Knowledge Management (CIKM). Beijing, China, November 2019.
[pdf] - Jimmy, Guido Zuccon, Gianluca Demartini, and Bevan Koopman. Health Cards to Assist Decision Making in Consumer Health Search.
In: The American Medical Informatics Association (AMIA) 2019 Annual Symposium. Washington, D.C., USA, November 2019.
[pdf] - Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, and Gianluca Demartini. The impact of task abandonment in crowdsourcing. In: IEEE Transactions on Knowledge and Data Engineering (TKDE). October 2019.
[pdf] - Rehab Qarout, Alessandro Checco, Gianluca Demartini, and Kalina Bontcheva. Platform-related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks. In: The 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019). Skamania Lodge, WA, USA, October 2019.
[pdf] - Michael Luggen, Djellel Difallah, Cristina Sarasua, Gianluca Demartini, and Philippe Cudré-Mauroux. Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs.
In: The International Semantic Web Conference (ISWC 2019 - Research Track). Auckland, New Zealand, October 2019.
[pdf] - Ujwal Gadiraju and Gianluca Demartini. Understanding Worker Moods and Reactions to Rejection in Crowdsourcing.
In: The 30th ACM Conference on Hypertext and Social Media (HT'19). Hof, Germany, September 2019.
[pdf] - Alessandro Checco, Jo Bates, and Gianluca Demartini. Quality control attack schemes in crowdsourcing.
In: The 28th International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China, August 2019.
[pdf] - Jimmy, Guido Zuccon, Bevan Koopman, and Gianluca Demartini. Health Cards for Consumer Health Search.
In: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019). Paris, France, July 2019.
[pdf] - Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, and Philippe Cudré-Mauroux. Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.
In: The Web Conference (WWW 2019). San Francisco, CA, USA, May 2019.
[pdf] - Gianluca Demartini. Implicit Bias in Crowdsourced Knowledge Graphs.
In: The third international workshop on Augmenting Intelligence with Bias-Aware Humans-in-the-Loop
co-located with The Web Conference (WWW 2019). San Francisco, CA, USA, May 2019.
[pdf] - Djellel Difallah, Alessandro Checco, Gianluca Demartini, and Philippe Cudré-Mauroux. Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems.
In: ACM Transactions on Social Computing, Volume 2, Issue 1, Article No. 3, February 2019.
[pdf] - Wasim Ahmed, Peter Bath, Laura Sbaffi, and Gianluca Demartini. Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data. In: Health Information & Libraries Journal, 2019.
[pdf] - Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, and Gianluca Demartini. All Those Wasted Hours: On Task Abandonment in Crowdsourcing.
In: 12th ACM International Conference on Web Search and Data Mining (WSDM 2019). Melbourne, Australia, February 2019.
[pdf]
2018
- Mengdie Zhuang, Elaine G. Toms, and Gianluca Demartini. Can User Behaviour Sequences Reflect Perceived Novelty?.
In: 27th ACM International Conference on Information and Knowledge Management (CIKM 2018). Turin, Italy, October 2018.
[pdf] - Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, and Damiano Spina. How Many Truth Levels? Six? One Hundred? Even more? Validating Truthfulness of Statements via Crowdsourcing. In: 2nd International Workshop on Rumours and Deception in Social Media (RDSM) at CIKM 2018. Turin, Italy, October 2018.
[pdf] - Kevin Roitero, Eddy Maddalena, Gianluca Demartini, and Stefano Mizzaro. On Fine-Grained Relevance Scales. In: The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). Ann Harbor, Michigan, July 2018.
[pdf] - Jahna Otterbacher, Alessandro Checco, Gianluca Demartini, and Paul Clough. Investigating User Perception of Gender Bias in Image Search: The Role of Sexism. In: The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). Ann Harbor, Michigan, July 2018.
[pdf] - Jimmy, Guido Zuccon, and Gianluca Demartini. On the Volatility of Commercial Search Engines and its Impact on Information Retrieval Research. In: The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). Ann Harbor, Michigan, July 2018.
[pdf] - Alessandro Checco, Jo Bates, and Gianluca Demartini. All That Glitters is Gold -- An Attack Scheme on Gold Questions in Crowdsourcing. In: The 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018). Zurich, Switzerland, July 2018. Best paper award (Top 1% of all submissions).
[pdf] - Ujwal Gadiraju, Gianluca Demartini, Ricardo Kawase and Stefan Dietze. Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection. In: Computer Supported Cooperative Work (CSCW) Special Issue on Crowd Dynamics: Conflicts, Contradictions, and Cooperation Issues in Crowdsourcing, Springer, 2018.
[pdf] - Cristina Sarasua, Alessandro Checco, Gianluca Demartini, Djellel Difallah, Michael Feldman, and Lydia Pintscher. The Evolution of Power and Standard Wikidata Editors: Comparing Editing Behavior over Time to Predict Lifespan and Volume of Edits. In: Computer Supported Cooperative Work (CSCW) Special Issue on Crowd Dynamics: Conflicts, Contradictions, and Cooperation Issues in Crowdsourcing, Springer, 2018.
[pdf] - Wasim Ahmed, Peter Bath, Laura Sbaffi, and Gianluca Demartini. Moral Panic through the Lens of Twitter: An Analysis of Infectious Disease Outbreaks. In: 9th International Conference on Social Media & Society, Work-in-progress track. Copenhagen, Denmark, July 2018.
[pdf] - Gianluca Demartini. Semantic Interlinking.
In: Encyclopedia of Big Data Technologies. 2018.
[pdf] - Wasim Ahmed, Peter Bath, Laura Sbaffi, and Gianluca Demartini. Measuring the Effect of Public Health Campaigns on Twitter: The Case of World Autism Awareness Day.
In: iConference 2018. Sheffield, UK, March 2018.
[pdf]
2017
- Gianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, and Michele Catasta. An Introduction to Hybrid Human-Machine Information Systems.
In: Foundation and Trends in Web Science Vol. 7: No. 1, pp 1-87. 2017.
[pdf] - Wasim Ahmed, Peter A. Bath, Gianluca Demartini. Using Twitter as a data source: An overview of ethical, legal and methodological challenges.
In: The Ethics of Online Research, 79-107, Emerald. December 2017.
[pdf] - Mengdie Zhuang, Gianluca Demartini, and Elaine G. Toms. Understanding Engagement through Searching Behaviour.
In: 26th ACM International Conference on Information and Knowledge Management (CIKM 2017). Singapore, November 2017.
[pdf] - Alessandro Checco, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, and Gianluca Demartini. Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing.
In: The 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017). Quebec City, Canada, October 2017.
[pdf] - Eddy Maddalena, Kevin Roitero, Gianluca Demartini, and Stefano Mizzaro. Considering Assessor Agreement in IR Evaluation.
In: The 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017). Amsterdam, The Netherlands, October 2017.
[pdf] - Alessandro Checco and Gianluca Demartini. Para Bellum - Breaking Gold Questions Quality Assurance Systems in Paid Micro-task Crowdsourcing.
In: 2017 Workshop on Hybrid Human-Machine Computing (HHMC 2017). Guildford, UK, September 2017.
[slides] - Ujwal Gadiraju, Alessandro Checco, Neha Gupta, and Gianluca Demartini. Modus Operandi of Crowd Workers: The Invisible Role of Microtask Work Environments.
In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) presented at The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP 2017). Maui, Hawaii, September 2017.
[pdf] - Alessandro Checco, Gianluca Demartini, Alexander Löser, Ines Arous, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinov, Martin Kersten, and Ying Zhang. FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe.
In: 'Machine learning meets fashion' workshop at KDD 2017. Halifax, Nova Scotia, Canada, August 2017.
[pdf] - Wasim Ahmed, Gianluca Demartini, and Peter Bath. Topics Discussed on Twitter at the Beginning of the 2014 Ebola Epidemic in United States.
In: iConference 2017. Wuhan, China, March 2017.
[pdf]
2016
- Eddy Maddalena, Marco Basaldella, Dario De Nart, Dante Degl'Innocenti, Stefano Mizzaro, and Gianluca Demartini. Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge.
In: The 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016). Austin, Texas, November 2016.
[pdf] - Jie Yang, Judith Redi, Gianluca Demartini, and Alessandro Bozzon. Modeling Task Complexity in Crowdsourcing.
In: The 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016). Austin, Texas, November 2016.
[pdf] - Muhammad Helmy, Marco Basaldella, Eddy Maddalena, Stefano Mizzaro, and Gianluca Demartini. Towards Building a Standard Dataset for Arabic Keyphrase Extraction Evaluation.
In: The 20th International Conference on Asian Language Processing (IALP 2016). Taiwan, November 2016.
[pdf] - Gianluca Demartini. A Tutorial on Leveraging Knowledge Graphs for Web Search.
In: Communications in Computer and Information Science, Volume 573, Pages 24-37. Information Retrieval
9th Russian Summer School, RuSSIR 2015 Saint Petersburg, Russia, August 24-28, 2015. Revised Selected Papers. Springer.
[pdf] - Mengdie Zhuang, Elaine G. Toms, and Gianluca Demartini. Search Behaviour Before and After Search Success.
In: Workshop on Search as Learning (SAL 2016) at SIGIR 2016. Pisa, Italy, July 2016.
[pdf] - Paul Clough, Philip Webster, Gianluca Demartini, Sonia Ranade, and Tom Storrar. Exploring Entity-Centric Methods in the UK Government Web Archive.
In: Workshop on Accessing Cultural Heritage at Scale (ACHS 2016) at JCDL 2016. Newark, New Jersey, USA, June 2016.
[pdf] - Djellel Eddine Difallah, Gianluca Demartini, and Philippe Cudré-Mauroux. Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered Systems.
In: 25th International Conference on World Wide Web (WWW 2016), Research Track. Montreal, Canada, April 2016.
[pdf] - Mengdie Zhuang, Elaine G. Toms, and Gianluca Demartini. The Relationship between User Perception and User Behaviour in Interactive Information Retrieval Evaluation.
In: 38th European Conference on Information Retrieval (ECIR 2016). Padua, Italy, March 2016. Best Paper Award (Top 0.5% of all submissions).
[pdf] - Alberto Tonon, Michele Catasta, Roman Prokofyev, Gianluca Demartini, Karl Aberer, and Philippe Cudré-Mauroux. Contextualized Ranking of Entity Types based on Knowledge Graphs.
In: Journal of Web Semantics, Volumes 37-38, Pages 170-183, Elsevier. March 2016.
[pdf]
2015
- Alberto Tonon, Gianluca Demartini, and Philippe Cudré-Mauroux. Pooling-Based Continuous Evaluation of Information Retrieval Systems.
In: Information Retrieval, Volume 18, Issue 5 (2015), Page 445-472, Springer.
[pdf] - Gianluca Demartini. Hybrid Human-Machine Information Systems: Challenges and Opportunities.
In: Computer Networks, Special Issue on Crowdsourcing, Volume 90, page 5-13 (2015), Elsevier.
[pdf] - Ujwal Gadiraju, Gianluca Demartini, Ricardo Kawase, and Stefan Dietze. Human beyond the Machine: Challenges and Opportunities of Microtask Crowdsourcing.
In: IEEE Intelligent Systems, Volume 30 Issue 4 - Jul/Aug 2015.
[pdf] - Alberto Tonon, Michele Catasta, Gianluca Demartini, and Philippe Cudré-Mauroux. Fixing the Domain and Range of Properties in Linked Data by Context Disambiguation.
In: The 8th Workshop on Linked Data on the Web (LDOW2015) at WWW2015. Firenze, Italy, May 2015.
[pdf]
- Djellel Eddine Difallah, Michele Catasta, Gianluca Demartini, Panagiotis G. Ipeirotis, and Philippe Cudré-Mauroux. The Dynamics of Micro-Task Crowdsourcing -- The Case of Amazon MTurk.
In: 24th International Conference on World Wide Web (WWW 2015), Research Track. Firenze, Italy, May 2015.
[pdf]
- Ujwal Gadiraju, Ricardo Kawase, Stefan Dietze, and Gianluca Demartini. Understanding Malicious Behaviour in Crowdsourcing Platforms: The Case of Online Surveys.
In: Proceedings of the ACM Special Interest Group on Computer Human Interaction (CHI 2015). Seoul, South Korea, April 2015.
[pdf]
2014
- Roman Prokofyev, Ruslan Mavlyutov, Martin Grund, Gianluca Demartini, and Philippe Cudré-Mauroux. Correct Me If I'm Wrong: Fixing Grammatical Errors by Preposition Ranking.
In: 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014). Shanghai, China, November 2014.
[pdf] - Djellel Eddine Difallah, Michele Catasta, Gianluca Demartini, and Philippe Cudré-Mauroux. Scaling-up the Crowd: Micro-Task Pricing Schemes for Worker Retention and Latency Improvement.
In: Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2014). Pittsburgh, USA, November 2014.
[pdf] - Michele Catasta, Alberto Tonon, Djellel Eddine Difallah, Gianluca Demartini, Karl Aberer, and Philippe Cudré-Mauroux. TransactiveDB: Tapping into Collective Human Memories.
In: 40th International Conference on Very Large Data Bases (VLDB). PVLDB Volume 7 Issue 14. Hangzhou, China, September 2014.
[pdf] - Michele Catasta, Alberto Tonon, Gianluca Demartini, Jean-Eudes Ranvier, Karl Aberer, and Philippe Cudré-Mauroux. B-hist: Entity-Centric Search over Personal Web Browsing History.
In: Journal of Web Semantics, Elsevier. July 2014.
[pdf] - Roman Prokofyev, Gianluca Demartini, and Philippe Cudré-Mauroux. Effective Named Entity Recognition for Idiosyncratic Web Collections.
In: 23rd International Conference on World Wide Web (WWW 2014), Research Track. Seoul, South Korea, April 2014.
[pdf] - Michele Catasta, Alberto Tonon, Djellel Eddine Difallah, Gianluca Demartini, Karl Aberer, and Philippe Cudré-Mauroux. Hippocampus: Answering Memory Queries using Transactive Search.
In: 23rd International Conference on World Wide Web (WWW 2014), Web Science Track. Seoul, South Korea, April 2014.
[pdf]
2013
- Alberto Tonon, Michele Catasta, Gianluca Demartini, Philippe Cudré-Mauroux, and Karl Aberer. TRank: Ranking Entity Types Using the Web of Data.
In: The 12th International Semantic Web Conference (ISWC 2013 - Research Track). Sydney, Australia, October 2013. Best Paper Award Nominee (Top 2% of all submissions).
[pdf] - Gianluca Demartini, Djellel Eddine Difallah, and Philippe Cudré-Mauroux. Large-Scale Linked Data Integration Using Probabilistic Reasoning and Crowdsourcing.
In: VLDB Journal, Volume 22, Issue 5 (2013), Page 665-687, Special issue on Structured, Social and Crowd-sourced Data on the Web. October 2013.
[pdf] - Mariusz Wisniewski, Gianluca Demartini, Apostolos Malatras, and Philippe Cudré-Mauroux. NoizCrowd: A Crowd-Based Data Gathering and Management System for Noise Level Data.
In: 10th International Conference on Mobile Web Information Systems (MobiWIS 2013), Paphos, Cyprus, August 2013.
[pdf] - Surender Reddy Yerva, Michele Catasta, Gianluca Demartini, and Karl Aberer. Entity Disambiguation in Tweets leveraging User Social Profiles.
In: 14th IEEE Intl. Conference on Information Reuse and Integration (IEEE IRI 2013), Invited Paper, San Francisco, CA, USA, August 2013.
[pdf] - Djellel Eddine Difallah, Gianluca Demartini, and Philippe Cudré-Mauroux. Pick-A-Crowd: Tell Me What You Like, and I'll Tell You What to Do.
In: 22nd International Conference on World Wide Web (WWW 2013), Research Track. Rio de Janeiro, Brazil, May
2013.
[pdf] - Roman Prokofyev, Gianluca Demartini, Philippe Cudré-Mauroux, Alexey Boyarsky, and Oleg Ruchayskiy. Ontology-Based Word Sense Disambiguation in the Scientific Domain.
In: 35th European Conference on Information Retrieval (ECIR 2013), Moscow,
Russia, March
2013.
[pdf] - Gianluca Demartini, Beth Trushkowsky, Tim Kraska, and Michael Franklin. CrowdQ: Crowdsourced Query Understanding.
In: 6th Biennial Conference on Innovative Data Systems Research (CIDR 2013), Asilomar, California, January
2013.
[pdf] - Gianluca Demartini, Iliya
Enchev, Joël Gapany, and Philippe Cudré-Mauroux. The Bowlogna Ontology:
Fostering Open Curricula and Agile Knowledge Bases for Europe's
Higher Education Landscape.
In: Semantic Web - Interoperability, Usability, Applicability. 4(1): 53-63, IOS Press, January 2013.
[pdf]
2012
- Roman Prokofyev, Alexey Boyarsky, Oleg Ruchayskiy, Karl Aberer, Gianluca Demartini, and Philippe Cudré-Mauroux. Tag Recommendation for Large-Scale Ontology-Based Information Systems.
In: 11th International Semantic Web Conference (ISWC 2012 - Evaluations and Experiments Track), Boston, MA, USA, November
2012.
[pdf] - Gianluca Demartini, Iliya
Enchev, Marcin Wylot, Joël Gapany, and Philippe Cudré-Mauroux. BowlognaBench-Benchmarking RDF Analytics. In: Data-Driven Process Discovery and Analysis, Lecture Notes in Business Information Processing, Vol. 116, October
2012.
[pdf] - Alberto Tonon, Gianluca Demartini, and Philippe Cudré-Mauroux. Combining Inverted Indices and Structured Search for Ad-hoc Object Retrieval.
In: 35th Annual ACM SIGIR Conference (SIGIR 2012), Portland, Oregon, USA, August
2012.
[pdf] - Philippe Cudré-Mauroux, Gianluca Demartini, Iliya Enchev, Christophe Guéret, and Benoit Perroud. Downscaling Entity Registries for Ad-Hoc Environments.
In: First International Workshop on Downscaling the Semantic Web co-located with the 9th Extended Semantic Web conference, Heraklion, Greece, May
2012.
[pdf] - Gianluca Demartini, Djellel Eddine Difallah, and Philippe Cudré-Mauroux. ZenCrowd: Leveraging Probabilistic Reasoning and Crowdsourcing Techniques for Large-Scale Entity Linking.
In: 21st International Conference on World Wide Web (WWW 2012), Research Track. Lyon, France, April
2012.
[pdf] - Djellel Eddine Difallah, Gianluca Demartini, and Philippe Cudré-Mauroux. Mechanical Cheat: Spamming Schemes and Adversarial Techniques on Crowdsourcing Platforms.
In: The First International Workshop on Crowdsourcing Web search (CrowdSearch 2012) at WWW 2012, Lyon, France, April
2012.
[pdf] - Julien Gaugaz, Patrick Siehndel, Gianluca Demartini, Tereza Iofciu, Mihai Georgescu, and Nicola Henze. Predicting the Future Impact of News Events.
In: 34th European Conference on Information Retrieval (ECIR 2012), Barcelona,
Spain, April
2012.
[pdf]
2011
- Karl Aberer, Alexey Boyarsky, Philippe Cudré-Mauroux,
Gianluca Demartini, and Oleg Ruchayskiy. An Integrated Socio-Technical Crowdsourcing Platform for Accelerating Returns in eScience.
In: 10th International Semantic Web Conference (ISWC 2011 - Outrageous Ideas), Bonn,
Germany, October
2011. 2nd most Outrageous Idea.
[pdf] [vid] - Karl Aberer, Alexey Boyarsky, Philippe Cudré-Mauroux,
Gianluca Demartini, and Oleg Ruchayskiy. ScienceWISE: A Web-based Interactive Semantic Platform for Scientific Collaboration.
In: 10th International Semantic Web Conference (ISWC 2011 - Demo), Bonn,
Germany, October
2011. Best Demo Award (Top 1% of all submissions).
[pdf] - Philippe Cudré-Mauroux,
Gianluca Demartini, Djellel Eddine Difallah, Ahmed Elsayed Mostafa, Vincenzo Russo,
and Matthew Thomas. A Demonstration of DNS3: a Semantic-Aware DNS Service.
In: 10th International Semantic Web Conference (ISWC 2011 - Demo), Bonn,
Germany, October
2011.
[pdf] - Gianluca Demartini, Iliya
Enchev, Joël Gapany, and Philippe Cudré-Mauroux. BowlognaBench-Benchmarking RDF Analytics. In: First
International Symposium on Data-driven Process Discovery and
Analysis (SIMPDA 2011), Campione
d'Italia, Italy, June
2011.
[pdf] - Gianluca Demartini. From People to Entities: Typed Search in the Enterprise and the Web. In: SIGIR Forum, June, 2011, Volume 45 Number 1, pp 73.
[pdf] - Gianluca Demartini, Stefan Siersdorfer, Sergiu
Chelaru, and Wolfgang Nejdl. Analyzing
Political Trends in the Blogosphere. In: Fifth
International AAAI Conference on Weblogs and Social Media (ICWSM
2011), Barcelona, Spain, July 2011.
[pdf] - Ralf Krestel, Gianluca Demartini, and Eelco Herder.
Visual Interfaces for Stimulating
Exploratory Search. In: ACM/IEEE Joint Conference
on Digital Libraries (JCDL 2011), Ottawa, Canada, June
2011.
[pdf] - Tereza Iofciu, Gianluca Demartini, Nick Craswell,
and Arjen P. de Vries. ReFER:
effective Relevance Feedback for Entity Ranking. In: 33rd European Conference on Information Retrieval (ECIR 2011), Dublin, Ireland, April 2011.
[pdf] - Gianluca Demartini. ARES:
A Retrieval Engine based on Sentiments - Sentiment-based Search
Result Annotation and Diversification. In: 33rd
European Conference on Information Retrieval (ECIR 2011 - Demo), Dublin, Ireland, April 2011.
[pdf]
2010
-
George Papadakis, Gianluca Demartini, Philipp Kärger, and Peter Fankhauser.
The Missing Links: Discovering Hidden Same-as Links among a Billion of Triples.
In: The 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS2010),
Paris, France,
November, 2010.
[pdf] -
Gianluca Demartini, Malik Muhammad Saad Missen, Roi Blanco, and Hugo Zaragoza.
TAER: Time Aware Entity Retrieval.
In: The 19th ACM International Conference on Information and Knowledge Management (CIKM 2010),
Toronto, Canada,
October, 2010.
[pdf] -
Bodo Billerbeck, Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, and Ralf Krestel.
Ranking Entities Using Web Search Query Logs.
In: 14th European Conference on Research and Advanced Technology for Digital Libraries (ECDL 2010),
Glasgow, Scotland,
September, 2010.
[pdf] -
Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel, and Wolfgang Nejdl.
Why Finding Entities in Wikipedia is Difficult, Sometimes.
In: "Information Retrieval" 13(5): 534-567, Special Issue on Focused Retrieval and Result Aggregation,
Springer,
October, 2010.
[pdf] -
Gianluca Demartini, Malik Muhammad Saad Missen, Roi Blanco, and Hugo Zaragoza.
Entity Summarization of News Articles.
In: 33rd Annual ACM SIGIR Conference (SIGIR 2010 poster session),
Geneva, Switzerland,
July, 2010.
[pdf] -
Bodo Billerbeck, Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, and Ralf Krestel.
Exploiting Click-Through Data for Entity Retrieval.
In: 33rd Annual ACM SIGIR Conference (SIGIR 2010 poster session),
Geneva, Switzerland,
July, 2010.
[pdf] -
T. Beckers, P. Bellot, G. Demartini, L. Denoyer, C.M. De Vries, A. Doucet, K.N. Fachry, N. Fuhr, P. Gallinari, S. Geva, W.-C. Huang, T. Iofciu, J. Kamps, G. Kazai, M. Koolen, S. Kutty, M. Landoni, M. Lehtonen, V. Moriceau, R. Nayak, R. Nordlie, N. Pharo, E. San Juan, R. Schenkel, X. Tannier, M. Theobald, J.A. Thom, A. Trotman and A.P. de Vries.
Report on INEX 2009. In: SIGIR Forum,
June, 2010, Volume 44 Number 1, pp 38-56.
[pdf] -
Gianluca Demartini and Stefan Siersdorfer.
Dear Search Engine: What's your opinion about...? - Sentiment Analysis for Semantic Enrichment of Web Search Results.
In: Semantic Search 2010 Workshop located at the 19th Int. World Wide Web Conference WWW2010,
Raleigh, NC, USA,
April, 2010.
[pdf] [vid] -
Enrico Minack, Raluca Paiu, Stefania Costache, Gianluca Demartini, Julien Gaugaz, Ekaterini Ioannou, Paul-Alexandru Chirita, and Wolfgang Nejdl.
Leveraging Personal Metadata for Desktop Search: The Beagle++ System.
In: "Journal of Web Semantics" 8(1): 37-54,
Elsevier,
March, 2010.
[pdf] [bib]
2009
-
Gianluca Demartini, Tereza Iofciu, and Arjen P. de Vries.
Overview of the INEX 2009 Entity Ranking Track.
In: 8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009
Brisbane, Australia,
December, 2009.
[pdf] -
Enrico Minack, Gianluca Demartini, and Wolfgang Nejdl.
Current Approaches to Search Result Diversification.
In: "1st International Workshop on Living Web: Making Web Diversity a true asset" at ISWC 2009,
Washington DC, USA,
October, 2009.
[pdf] -
Gianluca Demartini, Claudiu S. Firan, Mihai Georgescu, Tereza Iofciu, Ralf Krestel, and Wolfgang Nejdl.
An Architecture for Finding Entities on the Web.
In: 7th Latin American Web Congress (LA-WEB 2009), Mérida,
Yucatan, México,
November, 2009.
3rd Best Paper Award.
[pdf] [bib] -
Tereza Iofciu and Gianluca Demartini.
Time based Tag Recommendation using Direct and Extended Users Sets.
In: ECML PKDD Discovery Challenge 2009,
Bled, Slovenia,
September, 2009.
[pdf] -
Gianluca Demartini, Ludovic Denoyer, Antoine Doucet, Khairun Nisa Fachry, Patrick Gallinari, Shlomo Geva, Wei-Che Huang, Tereza Iofciu, Jaap Kamps, Gabriella Kazai, Marijn Koolen, Monica Landoni, Ragnar Nordlie, Nils Pharo, Ralf Schenkel, Martin Theobald, Andrew Trotman, Arjen P. de Vries, Alan Woodley, Jianhan Zhu.
Report on INEX 2008.
In: SIGIR Forum,
June, 2009, Volume 43 Number 1, pp 22-28.
[pdf] -
Julien Gaugaz, Jakub Zakrzewski, Gianluca Demartini, and Wolfgang Nejdl.
How to Trace and Revise Identities.
In: 6th Annual European Semantic Web Conference (ESWC2009),
Heraklion, Greece,
June, 2009.
[pdf ] [bib] -
Gianluca Demartini, Julien Gaugaz, and Wolfgang Nejdl.
A Vector Space Model for Ranking Entities and Its Application to Expert Search.
In: 31st European Conference on Information Retrieval (ECIR 2009),
Toulouse, France,
April, 2009.
[pdf] [bib]
2008
-
Gianluca Demartini, Arjen P. de Vries, Tereza Iofciu, and Jianhan Zhu.
Overview of the INEX 2008 Entity Ranking Track.
In: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008,
Dagstuhl Castle, Germany,
December, 2008.
[pdf] [bib] -
Nick Craswell, Gianluca Demartini, Julien Gaugaz, and Tereza Iofciu.
L3S at INEX 2008: Retrieving Entities using Structured Information.
In: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008
Dagstuhl Castle, Germany,
December, 2008.
[pdf] [bib] -
Rodolfo Stecher, Gianluca Demartini, and Claudia Niederée.
Social Recommendations of Content and Metadata.
In: 10th International Conference on Information Integration and Web-based Applications & Services (iiWAS2008),
Linz, Austria,
November, 2008.
[pdf] [bib] -
Gianluca Demartini and Claudia Niederée.
Finding Experts on the Semantic Desktop.
In: Personal Identification and Collaborations: Knowledge Mediation and Extraction (PICKME 2008) Workshop at ISWC 2008,
Karlsruhe, Germany,
October, 2008.
[pdf] -
Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel, and Wolfgang Nejdl.
A Model for Ranking Entities and Its Application to Wikipedia.
In: 6th Latin American Web Congress (LA-WEB 2008),
Vila Velha, Espirito Santo, Brasil,
October, 2008.
[pdf] [bib] -
Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, and Wolfgang Nejdl.
Semantically Enhanced Entity Ranking.
In: The Ninth International Conference on Web Information Systems Engineering (WISE 2008),
Auckland, New Zealand,
September, 2008.
[pdf] [bib] -
Jianhan Zhu, Arjen P. de Vries, Gianluca Demartini, and Tereza Iofciu.
Evaluating Relation Retrieval for Entities and Experts.
In: Future Challenges in Expertise Retrieval (fCHER 2008), SIGIR 2008 Workshop,
Singapore,
July, 2008.
[pdf] -
Julien Gaugaz and Gianluca Demartini.
Entity Identifiers for Lineage Preservation.
In: 1st international workshop on Identity and Reference on the Semantic Web (IRSW2008) hosted by the 5th European Semantic Web Conference ESWC-08,
Tenerife, Spain,
June, 2008.
[pdf] [bib] -
Gianluca Demartini.
Comparing People in the Enterprise.
In: 10th International Conference on Enterprise Information Systems, ICEIS 2008,
Barcelona, Spain,
June, 2008.
[pdf] [bib] -
Gianluca Demartini.
How Many Experts? - A New Task for Enterprise Search Evaluation.
In: Workshop on Novel Methodologies for Evaluation in Information Retrieval at the 30th European Conference on IR Research, ECIR 2008,
Glasgow, Scotland,
April, 2008.
[pdf] -
Gianluca Demartini, Paul-Alexandru Chirita, Ingo Brunkhorst, and Wolfgang Nejdl.
Ranking Categories for Web Search.
In: Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008,
Glasgow, Scotland,
April, 2008.
[pdf] [bib] -
Sergey Chernov, Gianluca Demartini, Eelco Herder, Michał Kopycki, and Wolfgang Nejdl.
Evaluating Personal Information Management Using an Activity Logs Enriched Desktop Dataset.
In: "Personal Information Management Workshop at CHI 2008" PIM 2008,
Florence, Italy,
April, 2008.
[pdf]
2007
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Gianluca Demartini, Claudiu S.Firan, and Tereza Iofciu.
L3S at INEX 2007: Query Expansion for Entity Ranking Using a Highly Accurate Ontology.
In: "Focused Access to XML Documents", 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007,
Dagstuhl Castle, Germany,
December, 2007.
Selected Papers.
[pdf] [bib] -
Gianluca Demartini.
Finding Experts Using Wikipedia.
In: "Finding Experts on the Web with Semantics Workshop at ISWC 2007 + ASWC 2007" FEWS 2007,
Busan, South Korea,
November, 2007.
[pdf] [bib] -
Gianluca Demartini.
Leveraging Semantic Technologies for Enterprise Search.
In: "First Ph.D. Workshop in CIKM" PIKM 2007,
Lisboa, Portugal,
November, 2007.
[pdf] [bib] -
Sergey Chernov, Pavel Serdyukov, Paul-Alexandru Chirita, Gianluca Demartini, and Wolfgang Nejdl.
Building a Desktop Search Test-bed.
In: Advances in Information Retrieval, 29th European Conference on IR Research, ECIR 2007,
Rome, Italy,
April, 2007. LNCS 4425, pp. 686-690.
[pdf] [bib] -
Sergey Chernov, Gianluca Demartini, and Julien Gaugaz.
L3S Research Center at TREC 2006 Enterprise Track.
In: The Fifteen Text REtrieval Conference Proceedings (TREC 2006)
[pdf]
2006
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Vincenzo Della Mea, Gianluca Demartini, Luca Di Gaspero, and Stefano Mizzaro.
Measuring Retrieval Effectiveness with Average Distance Measure (ADM).
Information Wissenschaft und Praxis, 57(8):433-443, 2006.
[pdf] [bib] -
Gianluca Demartini and Stefano Mizzaro.
A Classification of IR Effectiveness Metrics.
In: Advances in Information Retrieval, 28th European Conference on IR Research, ECIR 2006,
London, UK,
April, 2006. LNCS 3936, pp. 488-491.
[pdf] [bib] -
Vincenzo Della Mea, Gianluca Demartini, Luca Di Gaspero, and Stefano Mizzaro.
Experiments on Average Distance Measure.
In: Advances in Information Retrieval, 28th European Conference on IR Research, ECIR 2006,
London, UK,
April, 2006. LNCS 3936, pp. 492-495.
[pdf] [bib]