Abstract
Constructing domain ontology by hand is still a hard and time-consuming job. So, developing methods and techniques to acquire ontology from a large amount of documents in a semi-automatic manner is indispensable. In this paper, we present a technique of how to enrich existing ontology from domain-specific documents with online knowledge system like HowNet. HowNet is a bilingual general knowledge base that encodes inter-concept semantic relations and the inter-attribute semantic relations that can provide a hint to enrich existing ontology. We present the enrichment algorithms in detail. The preliminary experiment in physical education domain is taken and useful conclusions is made and presented through the paper.
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Cheng, Y., Shi, Z. (2004). Enriching Domain Ontology from Domain-Specific Documents with HowNet. In: Chi, CH., Lam, KY. (eds) Content Computing. AWCC 2004. Lecture Notes in Computer Science, vol 3309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30483-8_60
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DOI: https://doi.org/10.1007/978-3-540-30483-8_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23898-0
Online ISBN: 978-3-540-30483-8
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