Overview
Background
Dr. Gianluca Demartini is a Professor in Data Science and an ARC Future Fellow 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, the Swiss National Science Foundation, Meta, 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, 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 200 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, and a TEDx speaker.
Before joining the University of Queensland, he was a 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 Hannover in Germany focusing on Semantic Search.
Availability
- Professor Gianluca Demartini is:
- Available for supervision
- Media expert
Fields of research
Research interests
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Misinformation
Understanding how people interact with misinformation on social media and using AI to mitigate its spread online.
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Crowdsourcing and Human Computation
Improving the efficiency and effectiveness of human-in-the-loop systems.
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Big Data Analytics
Designing algorithms and systems that can scale-out to large amounts of data.
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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 Prof. Demartini focuses on improving the efficiency and effectiveness of human-in-the-loop artificial intelligence (AI) systems with application of AI for public good. 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.
Works
Search Professor Gianluca Demartini’s works on UQ eSpace
2017
Conference Publication
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
2017
Journal Article
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. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 5, 11-20. doi: 10.1609/hcomp.v5i1.13306
2017
Journal Article
Modus Operandi of Crowd Workers : The Invisible Role of Microtask Work Environments
Gadiraju, Ujwal, Checco, Alessandro, Gupta, Neha and Demartini, Gianluca (2017). Modus Operandi of Crowd Workers : The Invisible Role of Microtask Work Environments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1 (3), 1-29. doi: 10.1145/3130914
2017
Conference Publication
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
2017
Conference Publication
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.
2017
Conference Publication
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.
2017
Conference Publication
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.
2017
Conference Publication
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
2016
Conference Publication
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. 4th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2016, Austin, TX United States, 30 October - 3 November 2016. Washington, DC United States: Association for the Advancement of Artificial Intelligence.
2016
Journal Article
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. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 4, 129-138. doi: 10.1609/hcomp.v4i1.13284
2016
Journal Article
Contextualized ranking of entity types based on knowledge graphs
Tonon, Alberto, Catasta, Michele, Prokofyev, Roman, Demartini, Gianluca, Aberer, Karl and Cudre-Mauroux, Philippe (2016). Contextualized ranking of entity types based on knowledge graphs. Journal of Web Semantics, 37-38, 170-183. doi: 10.1016/j.websem.2015.12.005
2016
Journal Article
Preface
Hwang, Jiann-Yang, Jiang, Tao, Pistorius, P. Chris, Alvear, Gerardo R.F., Yiicel, Onuralp, Cai, Liyuan, Zhao, Baojun, Gregurek, Dean and Seshadri, Varadarajan (2016). Preface. TMS Annual Meeting (CONFCODENUMBER), xv-xxi.
2016
Conference Publication
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.
2016
Conference Publication
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.
2016
Conference Publication
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.
2016
Conference Publication
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
2016
Conference Publication
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.
2016
Conference Publication
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
2016
Conference Publication
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
2015
Journal Article
Hybrid human-machine information systems: challenges and opportunities
Demartini, Gianluca (2015). Hybrid human-machine information systems: challenges and opportunities. Computer Networks, 90, 5-13. doi: 10.1016/j.comnet.2015.05.018
Funding
Current funding
Supervision
Availability
- Professor Gianluca Demartini is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Bias Mitigation in Human in the Loop Decision Systems
Principal Advisor
Other advisors: Professor Shazia Sadiq
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Doctor Philosophy
Retrieval Augmented Generation: A Paradigm Shift in Natural Language Processing
Principal Advisor
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Doctor Philosophy
Human-centered Artificial Intelligence for Democracy
Principal Advisor
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Doctor Philosophy
Bias in Data Pipelines and AI Systems
Principal Advisor
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Doctor Philosophy
Human-Centred Artificial Intelligence for Democracy
Principal Advisor
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Master Philosophy
Online discussion summarisation and interaction
Principal Advisor
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Doctor Philosophy
Human in the Loop Decision Systems for Online Safety
Principal Advisor
Other advisors: Professor Tim Miller
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Doctor Philosophy
Synergising Learning Sciences, Learning Analytics, and Educational Technologies
Associate Advisor
Other advisors: Dr Hassan Khosravi
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Sensemaking in Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Extreme Analytics
Associate Advisor
Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Dr Maxime Cordeil
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Doctor Philosophy
Crowd Sourced Data Curation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Integrating Human and Machine Intelligence Towards the Development of an Adaptive Learning System
Associate Advisor
Other advisors: Dr Hassan Khosravi
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Sensemaking in Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
Completed supervision
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2024
Doctor Philosophy
A Study of Active Learning for Named Entity Recognition
Principal Advisor
Other advisors: Professor Guido Zuccon
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2024
Doctor Philosophy
On the Role of Human and Machine Metadata in Crowdsourced Data Annotation
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Marta Indulska
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2024
Doctor Philosophy
Automating Expertise in Identifying Structured Data Quality Issues: From Experts, Through Novices, to Machines
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Marta Indulska
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2023
Doctor Philosophy
Improving the Work Environment and Data Quality in Micro-Task Crowdsourcing
Principal Advisor
Other advisors: Professor Shazia Sadiq
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2021
Doctor Philosophy
Intelligence Behind Annotations: A Study of Understanding Interaction Behavior when the Human is in the Loop
Principal Advisor
Other advisors: Professor Shazia Sadiq
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2024
Doctor Philosophy
Synergising Learning Sciences, Learning Analytics, and Educational Technologies
Associate Advisor
Other advisors: Dr Hassan Khosravi
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2020
Doctor Philosophy
Search Engines that Help People Make Better Health Decisions
Associate Advisor
Other advisors: Professor Guido Zuccon
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Media
Enquiries
Contact Professor Gianluca Demartini directly for media enquiries about:
- AI
- AI for Good
- Artificial Intelligence
- Bias
- Big data
- Crowdsourcing
- Data Analytics
- Data Science
- Disinformation
- Fairness
- Fake News
- Human Computation
- Knowledge Graphs
- Misinformation
- Text Analytics
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