淡江大學機構典藏:Item 987654321/116593
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    題名: A Wordnet Based Information Retrieval on the Semantic Web
    作者: Wu, Shih-Jung, et al.
    關鍵詞: semantic web;semantic information retrieval;ontology
    日期: 2011-06-21
    上傳時間: 2019-05-11 12:11:04 (UTC+8)
    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.
    顯示於類別:[資訊創新與科技學系] 會議論文

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