HAIBridge 2025
HAIBridge 2025
1st Workshop on Bridging Hybrid (Artificial) Intelligence and the Semantic Web
1st Workshop on Bridging Hybrid (Artificial) Intelligence and the Semantic Web
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PROGRAM
PROGRAM
Smarter Together: Bridging Hybrid Intelligence and the Semantic Web
Smarter Together: Bridging Hybrid Intelligence and the Semantic Web
Following inspiration from our name, this workshop will be a hybrid between “standard” workshops (i.e., keynote + research presentations) and the “unconference”-style workshops (e.g., primarily discussion-based).
Before lunch, we will hold a keynote. This may not be directly in the first morning slot, so as to promote travel between workshops. Remaining time will be allocated to brief research presentations selected from the accepted articles.
That is, we will accept two categories of papers: oral (presentation) and poster. In the afternoon, we will have a poster session and interactive discussion period with guided breakouts, based on community feedback for topics.
KEYNOTE SPEAKER
KEYNOTE SPEAKER
Gianluca Demartini
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, Semantic Web, 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.
LOCATION
LOCATION
Date: November 2nd
Venue: Nara Prefectural Convention Center
Conference Schedule: Click here
Accepted Papers:
Accepted Papers:
A Transparent and Adaptive AI Assistant for Teaching Knowledge Engineering
Stefani Tsaneva, Laura Waltersdorfer, Majlinda Llugiqi, and Marta Sabou
Using Large Language Models and Law-Based Rules for the Analysis of VAT Chain-Transaction Cases in Austrian Tax Law
Marina Luketina, Lukas Knogler and Christoph Schuetz.
rapid-triples: Customisable and Dynamic Forms for Semi-automatic Knowledge Collection
Mario Scrocca, Alessio Carenini, Valentina Anita Carriero and Irene Celino.
Towards Adaptive Knowledge Structuring by Multi-Agent Consensus
Takahiro Kobayashi and Makoto Nakatsuji
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