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
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.
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
2015
Journal Article
Pooling-based continuous evaluation of information retrieval systems
Tonon, Alberto, Demartini, Gianluca and Cudre-Mauroux, Philippe (2015). Pooling-based continuous evaluation of information retrieval systems. Information Retrieval Journal, 18 (5), 445-472. doi: 10.1007/s10791-015-9266-y
2015
Journal Article
Human beyond the machine: challenges and opportunities of microtask crowdsourcing
Gadiraju, Ujwal, Demartini, Gianluca, Kawase, Ricardo and Dietze, Stefan (2015). Human beyond the machine: challenges and opportunities of microtask crowdsourcing. IEEE Intelligent Systems, 30 (4) 7156008, 81-85. doi: 10.1109/MIS.2015.66
2015
Conference Publication
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.
2014
Conference Publication
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
2014
Conference Publication
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
2014
Book
From people to entities: new semantic search paradigms for the web
Demartini, Gianluca (2014). From people to entities: new semantic search paradigms for the web. Amsterdam, Netherlands: IOS Press.
2014
Conference Publication
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
2014
Conference Publication
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.
2014
Conference Publication
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
2014
Conference Publication
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.
2013
Journal Article
Large-scale linked data integration using probabilistic reasoning and crowdsourcing
Demartini, Gianluca, Difallah, Djellel Eddine and Cudre-Mauroux, Philippe (2013). Large-scale linked data integration using probabilistic reasoning and crowdsourcing. VLDB Journal, 22 (5), 665-687. doi: 10.1007/s00778-013-0324-z
2013
Conference Publication
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
2013
Book Chapter
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
2013
Conference Publication
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
Funding
Current funding
Past funding
Supervision
Availability
- Professor Gianluca Demartini is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose 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
Human in the Loop Decision Systems for Online Safety
Principal Advisor
Other advisors: Professor Tim Miller
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Doctor Philosophy
Human-Centred Artificial Intelligence for Democracy
Principal Advisor
Other advisors: Dr Joel Mackenzie
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Doctor Philosophy
Human-centered Artificial Intelligence for Democracy
Principal Advisor
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Doctor Philosophy
Political Bias in Large Language Models: a Persona-based Perspective
Principal Advisor
Other advisors: Dr Joel Mackenzie
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Doctor Philosophy
Bias in Data Pipelines and AI Systems
Principal Advisor
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Doctor Philosophy
From Auditing to Mitigation: The Role of Persona in Studying and Controlling Ideological Biases in Large Language Models
Principal Advisor
Other advisors: Dr Joel Mackenzie
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Doctor Philosophy
Extreme Analytics
Associate Advisor
Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Associate Professor Maxime Cordeil
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
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
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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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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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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2025
Doctor Philosophy
Sensemaking in Integrative Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, 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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