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Author:

Fang, Li-Ying (Fang, Li-Ying.) | Shi, Bin (Shi, Bin.) | Yan, Jian-Zhuo (Yan, Jian-Zhuo.) | Wang, Pu (Wang, Pu.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In order to resolve the issue of containing query with a node set formed by multi-keywords, this paper proposes an index structure, named PS-Tree, and applies it to a semantic search engine. The PS-Tree refers to a set attribute index of object-orient database. It can map user's query to a semantic path which contains semantic relations as the aim of user's query in form of multi-keywords by 'range query'. It can improve the performance of index structure. The experiment result shows that the PS-Tree gives a good performance especially when there is a long semantic distance between the query keywords.

Keyword:

Indexing (of information) Semantic Web Search engines Trees (mathematics) Forestry Query processing

Author Community:

  • [ 1 ] [Fang, Li-Ying]College of Electronic Information and Control, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Shi, Bin]Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
  • [ 3 ] [Yan, Jian-Zhuo]College of Electronic Information and Control, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Wang, Pu]College of Electronic Information and Control, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2012

Issue: 9

Volume: 38

Page: 1353-1358

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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