Extracting semantic relations to enrich domain ontologies

Minxin Shen*, Duen-Ren Liu, Yu Siang Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Domain ontologies facilitate the organization, sharing and reuse of domain knowledge, and enable various vertical domain applications to operate successfully. Most methods for automatically constructing ontologies focus on taxonomic relations, such as is-kind-of and is-part-of relations. However, much of the domainspecific semantics is ignored. This work proposes a semi-unsupervised approach for extracting semantic relations from domain-specific text documents. The approach effectively utilizes text mining and existing taxonomic relations in domain ontologies to discover candidate keywords that can represent semantic relations. A preliminary experiment on the natural science domain (Taiwan K9 education) indicates that the proposed method yields valuable recommendations. This work enriches domain ontologies by adding distilled semantics.

Original languageEnglish
Pages (from-to)749-761
Number of pages13
JournalJournal of Intelligent Information Systems
Issue number3
StatePublished - 1 Dec 2012


  • Ontology learning
  • Relation extraction
  • Semantic relation
  • Text mining


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