Dr. Gianluca Demartini,
School of Electrical Engineering and Computer Science,
University of Queensland
St Lucia
QLD 4072 Australia
Office: +61 7 336 58325
demartini@acm.org

Gianluca Demartini is a Professor in Data Science and an ARC Future Fellow at the School of Electrical Engineering and Computer Science at the University of Queensland, Australia. He is also a Dieter Schwarz Fellow at the Technical University of Munich, Germany. His main research interests in Data Science include Information Retrieval and Responsible Artificial Intelligence. His research is currently funded by the Australian Research Council, the Swiss National Science Foundation, Meta, Google, and the Wikimedia Foundation. He received multiple Best Paper awards at Artificial Intelligence and Information Retrieval conferences. He has published more than 200 scientific papers at major computer science venues such as the ACM Web Conference, ACM SIGIR, VLDB Journal, ISWC, and ACM CHI. He is an ACM Senior Member, ACM Distinguished Speaker, and TEDx speaker. His recent research has looked at the application of AI for public good. This includes, for example, applications of AI to online misinformation detection, harmful content detection, and gender and political bias in AI. This has led him to work on fundamental research challenges including data bias management, fairness in AI, and human-artificial intelligence collaboration. He serves as associate editor for the Transactions on Graph Data and Knowledge (TGDK) Journal and for the ACM Journal of Data and Information Quality (JDIQ). He is a steering committee member for the AAAI HCOMP conference. He was PC Chair for the AAAI HCOMP conference in 2024, the International Semantic Web Conference in 2024, and 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. 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 Hannover focusing on Semantic Search.
Datasets
This page contains a collection of links to datasets produced for my research work.
UQ Single Column Format Inconsistency Datasets
https://doi.org/10.48610/0ab54e7
Crowdsourcing Truthfulness Judgements
https://github.com/KevinRoitero/crowdsourcingTruthfulness/
INEX Entity Ranking (XER) Evaluation collections
TRank: Ranking Entity Types Using the Web of Data
http://trank.exascale.info/
The Arabic Keyphrase Extraction Corpus (AKEC)
https://ailab-uniud.github.io/akec/
Pick-A-Crowd: Tell Me What You Like, and I'll Tell You What to Do
http://exascale.info/PickACrowd/
Combining Inverted Indices and Structured Search for Ad-hoc Object Retrieval
http://diuf.unifr.ch/main/xi/HybridAOR/
ZenCrowd - Leveraging Probabilistic Reasoning and Crowdsourcing Techniques for Large-Scale Entity Linking
http://exascale.info/zencrowd/
A Dataset for Evaluating Entity Retrieval over Time
http://www.l3s.de/~demartini/deert/
A Wikipedia Dataset for Evaluating Entity Ranking
http://www.l3s.de/~iofciu/wikipediaER/