Volume 9 Number 11 (Nov. 2014)
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JSW 2014 Vol.9(11): 2844-2850 ISSN: 1796-217X
doi: 10.4304/jsw.9.11.2844-2850

Subject Perception Semantic Model for Information Retrieval in Tourism

Lingling Zi1, Xin Cong1, Yaping Zhang2
1School of Electronic and Information Engineering, Liaoning Technical University, Huludao, China
2China Faculty of Computer Science & Information Technology, Yunnan Normal University, Kunming, Yunnan, China


Abstract—With the continued growth of tourism multimedia information made available through the World Wide Web, more efficient and accurate retrieval approaches are leading to an increasing demand. Most existing information retrieval approaches are based upon keywords and therefore provide limited capabilities to capture the query requirements. However, a complete understanding of search requirements is essential for improving the effectiveness of retrieval. To achieve this goal, we propose a novel subject perception semantic model (SPSM) for searching tourism information, which allows the customized query threshold to retrieve tourism information. In this model, we present the definition of Subject Hierarchy Graph to support semantic search capabilities, and propose computing methods of subject perception to quantify the semantics of query requirements. The experiments show that SPSM obtained encouraging performances.

Index Terms—information retrieval; subject perception; tourism; quantification; query requirements

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Cite: Lingling Zi, Xin Cong, Yaping Zhang, "Subject Perception Semantic Model for Information Retrieval in Tourism," Journal of Software vol. 9, no. 11, pp. 2844-2850, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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