A Wordnet Based Information Retrieval on the Semantic Web
學年 99
學期 2
發表日期 2011-06-21
作品名稱 A Wordnet Based Information Retrieval on the Semantic Web
作品名稱(其他語言)
著者 Wu, Shih-Jung, et al.
作品所屬單位
出版者
會議名稱 The 7th International Conference on Networked Computing and Advanced Information Management
會議地點 Gyeongju, South Korea
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.
關鍵字 semantic web;semantic information retrieval;ontology
語言 en_US
收錄於
會議性質 國際
校內研討會地點
研討會時間 20110621~20110623
通訊作者
國別 KOR
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116593 )