Inductive learning of OWL 2 property chains
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee
2022
scientific article
english
- ontology learning
- owl 2
- property chains
- semantic web
EN We present an algorithm to inductively learn Web Ontology Language (OWL) 2 property chains to be used in object subproperty axioms. For efficiency, it uses specialized encodings and data structures based on hash-maps and sparse matrices. The algorithm is based on the frequent pattern search principles and uses a novel measure called s-support. We prove soundness and termination of the algorithm, and report on evaluation where we mine axioms from DBpedia 2016-10. We extensively discuss the 36 mined axioms and conclude that 30 (83%) of them are correct and could be added to the ontology.
02.03.2022
25327 - 25340
CC BY (attribution alone)
open journal
final author's version
in press
100
3,9