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.
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Jung, JG., Oh, KJ., Jo, GS. (2009). Extracting Relations towards Ontology Extension. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_25
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DOI: https://doi.org/10.1007/978-3-642-01665-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01664-6
Online ISBN: 978-3-642-01665-3
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