A Semantic Retrieval Method Based on Ontology

Qi Shen; Meng Zhang

doi:10.4028/www.scientific.net/AMR.989-994.2179

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Semantic Retrieval Method Based on Ontology

A Semantic Retrieval Method Based on Ontology

Abstract:

Semantic retrieval method stands at the crossroads between Natural Language Processing and Machine Intelligent. This paper makes analysis on the semantic search method and research on concept similarity algorithm, and discusses the factor of weight’s influence on concept similarity as well. On this basis, this paper proposed a new semantic search method based on ontology, and apply it to the tourism information retrieval, which intellectualized tourism information retrieval service.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2179-2183

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2179

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Online since:

July 2014

Authors:

Qi Shen*, Meng Zhang

Keywords:

Concept Similarity, Ontology, Semantic Expansion, Weight

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* - Corresponding Author

References

[1] Ying Zhang Web3. 0: personalized learning platform [J]. China education technology equipment. 2012 (27): 38-39.

Google Scholar

[2] Zhihong Deng, Shiwei Tang, et al. Overview of Ontology [J]. Journal of Peking University: Natural Science Edition, 2002, 38 (5): 730-738.

Google Scholar

[3] Jianhou Gan , Youming Xia, Tianren Xu, et al. Ontology knowledge representation extends the [J]. language OWL Journal of Yunnan Normal University (NATURAL SCIENCE EDITION). 2005 (04).

Google Scholar

[4] Binbin YU and construction tools of [J]. border economic and cultural ontology construction method. 2012 (12): 167-168.

Google Scholar

[5] Yong Zhang, Junbai Lv Protege Ontology Modeling Research Based on [J]. Fujian computer. 2011 (01).

Google Scholar

[6] Tao, Teng-Yang, Zhao. An Ontology-Based Information Retrieval Model for Vegetables E-Commerce[J]. 2012, 11 (5): 800-807.

DOI: 10.1016/s2095-3119(12)60070-7

Google Scholar

[7] Chengyi Che, Zongmin Ma, Xiaolong Jiao . Study on the recognition method of [J]. computer engineering data table in the Web page. 2012, 38 (23): 154-157.

Google Scholar