Extracting Relations towards Ontology Extension

Authors:
Jin-Guk Jung;Kyeong-Jin Oh;Geun-Sik Jo
Affiliations:
Intelligent e-Commerce Systems Laboratory, Department of Information Engineering, Inha University, Incheon, Korea 402-751;Intelligent e-Commerce Systems Laboratory, Department of Information Engineering, Inha University, Incheon, Korea 402-751;Department of Information Engineering, Inha University, Incheon, Korea 402-751
Venue:
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Year:
2009

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Abstract

Extracting local ontology from domain-specific documents for the purpose of acquiring knowledge or semantic information to extend their ontologies is considered very important. Main components of ontology are concepts and relations between concepts. In this paper, we focus on extracting triples, in which verbs are relations and subjects/objects are concepts, from documents based on natural language. Further, we show that term frequency is the most reliable measure among tf-idf and entropy on evaluating relations extracted from documents, particularly the aircraft maintenance manual.