IR
Information retrieval model for the semantic search
Wang, Li1,2; Li, Ming2
2007-04-01
发表期刊Journal of Computational Information Systems
ISSN15539105
卷号3期号:4页码:1359-1366
摘要In this paper we have presented an information retrieval model for the semantic search that uses the ontology-based knowledge base to support semantic search over the document repository. Our approach can be seen as an evolution of the classic vector-space model, where keyword-based indices and RDF triples indices are complementary to each other, which makes it possible to retrieve more precisely documents that are related to the information searched closely. On the basis of that, we propose the consistent ranking algorithm that combines keyword ranking and semantic ranking. Our semantic retrieval algorithm outperforms keyword-based search from the two aspects of the precision and recall, and provides ground for the further research.
关键词Algorithms Knowledge based systems Ontology Semantics Support vector machines Relevance ranking Semantic search
收录类别EI
语种英语
出版者Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States
EI入藏号20072610674416
EI主题词Information retrieval
EI分类号723.4.1 Expert Systems - 903.2 Information Dissemination - 903.3 Information Retrieval and Use
来源库Compendex
分类代码723.4.1 Expert Systems - 903.2 Information Dissemination - 903.3 Information Retrieval and Use
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/112283
专题兰州理工大学
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作者单位1.Library of Northwest Normal University, Lanzhou 730070, China;
2.School of Computer and Communication, Lanzhou Univ. of Tech., Lanzhou 730050, China
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Wang, Li,Li, Ming. Information retrieval model for the semantic search[J]. Journal of Computational Information Systems,2007,3(4):1359-1366.
APA Wang, Li,&Li, Ming.(2007).Information retrieval model for the semantic search.Journal of Computational Information Systems,3(4),1359-1366.
MLA Wang, Li,et al."Information retrieval model for the semantic search".Journal of Computational Information Systems 3.4(2007):1359-1366.
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