淡江大學機構典藏:Item 987654321/80111
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    题名: Semantic Web Information Retrieval Based on the Wordnet
    作者: Yang, Che-Yu;Wu, Shih-Jung
    贡献者: 淡江大學資訊創新與科技學系
    关键词: Semantic Web;Semantic Information Retrieval;Ontology
    日期: 2012-04
    上传时间: 2013-01-17 23:04:25 (UTC+8)
    出版者: AICIT
    摘要: 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.
    關聯: International Journal of Digital Content Technology and its Applications 6(6), p.294-302
    显示于类别:[資訊創新與科技學系] 期刊論文

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