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Extracting semantic relations to enrich domain ontologies

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Abstract

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 domain-specific 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.

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Acknowledgements

This research was partially supported by the National Science Council of the Taiwan under grant NSC 99-2410-H-009-034-MY3 and NSC 101-2811-H-009-002.

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Authors and Affiliations

  1. Industrial Technology Research Institute, 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, 31040, Taiwan, Republic of China

    Minxin Shen

  2. Institute of Information Management, National Chiao Tung University, 1001 University Road, Hsinchu, 300, Taiwan, Republic of China

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

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  1. Minxin Shen
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  2. Duen-Ren Liu
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Correspondence to Minxin Shen.

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Shen, M., Liu, DR. & Huang, YS. Extracting semantic relations to enrich domain ontologies. J Intell Inf Syst 39, 749–761 (2012). https://doi.org/10.1007/s10844-012-0210-y

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