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author:

Lin, Shiping (Lin, Shiping.) [1] (Scholars:林世平) | Lin, Junping (Lin, Junping.) [2]

Indexed by:

CPCI-S

Abstract:

Within the existing ontology learning from Chinese, most research methods on the non-taxonomic relation extraction are focus on deciding whether there are relations between two concepts. In other words, they can not attach a semantic label for the extracted non-taxonomic relation. The paper proposes a method which uses linguistics representation method to attach the extracted non-taxonomic relations with semantic labels after extracting related concepts with statistical function. To some extend, the method overcomes the difficulty of not attaching the semantic labels for the extracted non-taxonomic relations with most past methods. The Experimental results show that the method proposed can obtain the semantic label of the non-taxonomic relation between concepts.

Keyword:

concept non-taxonomic relation ontology learning semantic label

Community:

  • [ 1 ] [Lin, Shiping]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 2 ] [Lin, Junping]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • 林世平

    [Lin, Shiping]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China

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Source :

ASIA-PACIFIC YOUTH CONFERENCE ON COMMUNICATION TECHNOLOGY 2010 (APYCCT 2010)

Year: 2010

Page: 574-577

Language: Chinese

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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