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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 247))

Abstract

Keyword search is the process of identifying relevant data the matches with keyword. If it produces more than one document as a search results, there will be ranking process. This paper explain a novel keyword search method on RDF data model, and use fuzzy technique extract results according to the query we passed. Proposed model can improves the storage and querying characteristics of the underlying RDF store. In addition to the above, the problem of fuzzy search on RDF model while typing key words. The results have supported the objective of the work.

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Correspondence to Selvani Deepthi Kavila .

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© 2014 Springer International Publishing Switzerland

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Kavila, S.D., Ravva, R., Bandaru, R. (2014). Fuzzy Type – Ahead Keyword Search in RDF Data. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-02931-3_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02930-6

  • Online ISBN: 978-3-319-02931-3

  • eBook Packages: EngineeringEngineering (R0)

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