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Using Ontology to Build Information Recommendation System in e-Commerce

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 106))

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Abstract

The aim of ontologies is to formalize domain knowledge in a generic way and provide a common understanding of a domain, which may be used and shared by applications and groups.This study attempts to propose a framework to improve and upgrade the effectiveness of E-C recommendation by ontology building algorithms. As a result, a e-commerce system is built using the existing standards cited above by overcoming their limits and sharing their different advantages. This paper puts forward using ontology to build information recommendation system in e-commerce. The experimental results have shown our suggested information system will increase precision and performance.

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References

  1. Charlotte, J., Mike, J., Peter, B.: Automatic RDF metadata generation for resource discovery. Computer Networks 31, 1305–1320 (1999)

    Article  Google Scholar 

  2. Qin, L., Atluri, V.: Ontology-Guided Change Detection to the Semantic Web Data. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 624–638. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Xu, H.-S., Shen, X.-J.: Construction and Presentation of Ontology on Semantic Web Based on Formal Concept. Journal of Computer Science 34(2), 171–174 (2007)

    Google Scholar 

  4. Green, P., Rosemann, M.: Integrated process modelling: an ontological analysis. Inf. Syst. 25(2), 73–87 (2000)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, J., Wang, Y. (2011). Using Ontology to Build Information Recommendation System in e-Commerce. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-23753-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23752-2

  • Online ISBN: 978-3-642-23753-9

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