Prague Ontology Engineering Meetup 2024 (POEM 2024)
Date: Wednesday, 6 November 2024, from 9.00 to 14.00
Location: Prague University of Economics and Business, Prague, Czechia, room SB 225, and online (Zoom)
Organizing team: Vojtěch Svátek, Ondřej Zamazal, Kateřina Haniková, Dana Malcová (DSXAI, Prague University of Economics and Business)
The attendance (whether on-site or online) is free of charge and not subject to prior registration – except for active presenters (see below).
Event description:
Ontologies are nowadays the backbone of numerous knowledge-intensive applications, and provide the semantics to public as well as corporate knowledge graphs, which are, in turn, one of the pillars of explainable AI. Despite more than two decades of research, the methods for developing, maintaining, evolving, aligning and transforming ontologies, which are the subject of Ontology Engineering, still require major intellectual investment in order to become mature for industrial applications.
The workshop will address all aspects of Ontology Engineering and related topics. The primary audience are the PhD and advanced MSc students, who will have an opportunity to present their research as well as discuss with senior colleagues: primarily, the keynote speaker Nicola Guarino, and members of the local DSXAI research team.
Event schedule:
(note: the on-site activities will also be streamed online as much as possible)
- 9:00 – 10:30 Keynote (on-site)
- Nicola Guarino: Towards explanatory conceptual models: a systematic approach based on ontological analysis
Abstract: A widespread requirement for conceptual models is that they need to have some kind of formal semantics in order to be used, and especially in order to be shared. In this talk I will defend that just having a formal semantics is not enough: in order to be shared and integrated, conceptual models need to be explained in terms of their ontological commitments to the world. I will distinguish therefore between ordinary conceptual models, which typically describe a domain in terms of its relevant entities and relationships, and have therefore a merely descriptive role, and explanatory conceptual models, which aim at explaining why those relationships hold. I will propose then a systematic approach to expand an ordinary model at two different levels of explanatory detail, based on the ontological notion of truth-making.
- Nicola Guarino: Towards explanatory conceptual models: a systematic approach based on ontological analysis
- 10:30 – 11:45 Short contributed presentations, session 1 (on-site or online)
- 11:45 – 12:00 Coffee break, with discussions
- 12:00 – 13:30 Short contributed presentations, session 2 (on-site or online)
- 13:30 – 14:00 Wrap-up discussion
List of contributed presentations (abstracts here):
- Kateřina Haniková: Explaining misleading claims using graphs of entities
- Patrik Kompuš: Adopting ontology as a backbone of future-proof software development
- Veronika Kostrouchová: Information models in healthcare: CAR T-cell therapy
- Dana Malcová: Ontology-Driven Agility: A New Framework for Sustainable Organizational Evolution
- Vojtěch Svátek, Ondřej Zamazal: Overcoming the structural heterogeneity in OWL ontologies
- Peter Vajdečka: Enhancing Ontology Property and Subclass Generation with Few-Shot Learning Using Large Language Models
The event is partially supported by the Faculty of Informatics and Statistics, Prague University of Economics and Business, and by the EU Horizon Europe project Onto-DESIDE.