Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

We present an FCA-based axiomatization method that produces a complete 𝓔𝓛 TBox (the terminological part of an OWL 2 EL ontology) from a graph dataset in at most exponential time. We describe technical details that allow for efficient implementation as well as variations that dispense with the computation of extremely large axioms, thereby rendering the approach applicable albeit some completeness is lost. Moreover, we evaluate the prototype on real-world datasets.

Details

OriginalspracheEnglisch
TitelProceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), February 20--27, 2024, Vancouver, Canada
Redakteure/-innenMichael Wooldridge, Jennifer Dy, Sriraam Natarajan
Seiten10597-10606
Seitenumfang10
Band38
Auflage9
PublikationsstatusVeröffentlicht - 25 März 2024
Peer-Review-StatusJa

Externe IDs

Scopus 85189362462
ORCID /0000-0003-0219-0330/work/159607636