Semantic Web Information Retrieval Based on the Wordnet

機構典藏 > College of Global Entrepreneurial Development > Department of Innovative Information and Technology > Journal Article > Item 987654321/80111

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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