Rule Induction and Reasoning over Knowledge Graphs [chapter]

Daria Stepanova, Mohamed H. Gad-Elrab, Vinh Thinh Ho
2018 Lecture Notes in Computer Science  
Advances in information extraction have enabled the automatic construction of large knowledge graphs (KGs) like DBpedia, Freebase, YAGO and Wikidata. Learning rules from KGs is a crucial task for KG completion, cleaning and curation. This tutorial presents state-ofthe-art rule induction methods, recent advances, research opportunities as well as open challenges along this avenue. We put a particular emphasis on the problems of learning exception-enriched rules from highly biased and incomplete
more » ... ata. Finally, we discuss possible extensions of classical rule induction techniques to account for unstructured resources (e.g., text) along with the structured ones.
doi:10.1007/978-3-030-00338-8_6 fatcat:xvbbxrcdd5efvhqy5is5gfpbge