Research on Semantic Retrieval System for the Document Knowledge Based on Domain Ontology

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Abstract:

Domain ontology can effectively organize the knowledge of that domain and make it easier to share and reuse. We can build domain ontology on thesaurus and thematic words and index document knowledge using domain ontology. Under which this paper designs a semantic retrieval system for the document knowledge based on domain ontology, and the system consists of four main components: ontology query, semantic precomputation for document and the concept similarity, semantic extended search and reasoning search. Finally, this paper makes an experiment on high-speed railway domain. The experimental results show that the developed semantic retrieval system can reach the satisfied recall and precision.

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Periodical:

Advanced Materials Research (Volumes 204-210)

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2171-2175

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February 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhi Jin. Ontology research in knowledge engineering. Knowledge engineering and knowledge science. Bejing: Tsinghua University press, 2001: 447-465.

Google Scholar

[2] Jie Chen, Zhuhua Jiang. Concept similarity computation for domain ontology. Computer engineering and application, 2006, 33: 163-166.

Google Scholar

[3] KONG Tian-ye, LI Wan-long, ZHANG Hai-ou. Research in medicine ontology-based information retrieval system. Journal of Hebei University of Science and Technology, 2008, 29(3): 223-226.

Google Scholar

[4] ZHENG Jiaheng, LU Jiaoli. Study of an Improved Keywords Distillation Method. Computer Engineering, 2005, 31(18): 194-196.

Google Scholar

[5] Jiangning Wu, Guangfei Yang. An Ontology-Based Method for Project and Domain Expert Matching. LNCS/LNAI Proceedings, (2005).

Google Scholar