About us
The Knowledge in Artificial Intelligence (KAI) group studies the role of symbolic (formal/declarative) knowledge in Artificial Intelligence/AI-based systems.
The mission of the KAI group is to contribute to a better understanding of the representation, acquisition, extraction and management of explicitly modelled knowledge and to facilitate and promote the usage of such knowledge in artificial intelligent agents.
We do this by combining research from the fields of Knowledge Engineering and Knowledge Representation, with focus on how this contributes to Hybrid Intelligence (i.e. how knowledge helps to develop a collaborative, adaptive, explainable and responsible collaboration between artificial and human intelligence).
We combine foundational theory and applied methods such as computational logic, emergent semantics, narrative representation, abstract argumentation, knowledge engineering (at scale), knowledge graph management, semantic techniques, data integration as well as machine learning. Our research addresses a variety of types of knowledge, which can be heterogeneous, contextualised, dynamic, common-sense, process-dependent, personal, tribal, conflicting or biased, and often large-scale.
News
- (1 February 2024) - We have a new addition to our group: welcome Jieying!
- (8 December 2023) - The first issue of the TGDK journal is out with 2 articles where KAI members contributed! (continue reading)
- (8 December 2023) - Best paper award at KCAP2023 for Ilaria and Stefan! (continue reading)
- (1 December 2023) - We have a new addition to our group: welcome Ameneh!
- (5 November 2023) - We have a new addition to our group: welcome Vera!
- (1 November 2023) - Kai has joined the group! Welcome!
- (3 October 2023) - 3 papers from KAI members have been accepted to the KCAP conference for publication and presentations, well done to all authors: Ilaria, Lise, Ritten, Romana, Stefan as well as co-authors from other groups!
- (1 October 2023) - We have a new addition to our group: welcome Giacomo!
- (18 September 2023) - Distinguished Paper Award at RuleML for Patrick Koopmann. (continue reading)
- (30 May 2023) - Benno Kruit will be presenting his paper titeled "Minimalist Entity Disambiguation for Mid-Resource Languages" at the Sustainlp2023 workshop! Congrats on the acceptance!
Contact
Nieuwe Universiteitsgebouw, 10th floor
De Boelelaan 1111
1081 HV Amsterdam
T(central): 020 59 89898