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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/80111

    Title: Semantic Web Information Retrieval Based on the Wordnet
    Authors: Yang, Che-Yu;Wu, Shih-Jung
    Contributors: 淡江大學資訊創新與科技學系
    Keywords: Semantic Web;Semantic Information Retrieval;Ontology
    Date: 2012-04
    Issue Date: 2013-01-17 23:04:25 (UTC+8)
    Publisher: AICIT
    Abstract: Most of the existing textual information retrieval approaches depend on a lexical match between words in user’s requests and words in target objects. Typically only objects that contain one or more common words with those in the user’s query are returned as relevant. This lexical based retrieval model is far from ideal. In this research an approach to semantic based information retrieval of semantically annotated documents is presented. The approach operates based on: (i).natural language understanding, (ii).the Wordnet ontology, and (iii).the Semantic web standards. Not only the information is annotated and searched on a semantic basis, but also the retrieval process can be enhanced by the use of rich vocabulary knowledge in the ontology.
    Relation: International Journal of Digital Content Technology and its Applications 6(6), p.294-302
    Appears in Collections:[Department of Innovative Information and Technology] Journal Article

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