Fuzzy Type – Ahead Keyword Search in RDF Data

  • Selvani Deepthi Kavila
  • Ravi Ravva
  • Rajesh Bandaru
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Text Document keyword search Type a head fuzzy search 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Balmin, A., Hristidis, V., Papakonstantinou, Y.: Objectrank: Authority-Based Keyword Search in Databases. In: Proc. Int’l Conf. Very Large Data Bases (VLDB), pp. 564–575 (2004)Google Scholar
  2. 2.
    Dalvi, B.B., Kshirsagar, M., Sudarshan, S.: Keyword Search on External Memory Data Graphs. In: Proc. Int’l Conf. Very Large Data Bases (VLDB), pp. 1189–1204 (2008)Google Scholar
  3. 3.
    Ding, B., Yu, J.X., Wang, S., Qin, L., Zhang, X., Lin, X.: Finding Top-k Min-Cost Connected Trees in Databases. In: Proc. Int’l Conf. Data Eng. (ICDE), pp. 836–845 (2007)Google Scholar
  4. 4.
    Chu, E., Baid, A., Chai, X., Doan, A., Naughton, J.F.: Combining Keyword Search and Forms for Ad Hoc Querying of Databases. In: Proc. ACM SIGMOD Int’l Conf. Management of Data, pp. 349–360 (2009)Google Scholar
  5. 5.
    Fagin, R., Lotem, A., Naor, M.: Optimal Aggregation Algorithms for Middleware. In: Proc. ACM SIGMOD-SIGACTSIGART Symp. Principles of Database Systems (PODS) (2001)Google Scholar
  6. 6.
    Al-Hashemi, R.: Text Summarization Extraction System (TSES) Using Extracted Keywords. International Arab Journal of e-Technology 1(4) (June 2010)Google Scholar
  7. 7.
    Agrawal, S., Chaudhuri, S., Das, G.: Dbxplorer: A System for Keyword-Based Search over Relational Databases. In: Proc. Int’l Conf. Data Eng. (ICDE), pp. 5–16 (2002)Google Scholar
  8. 8.
    Amer-Yahia, S., Hiemstra, D., Roelleke, T., Srivastava, D., Weikum, G.: Db&ir Integration: Report on the Dagstuhl Seminar ‘Ranked Xml Querying’. SIGMOD Record 37(3), 46–49 (2008)Google Scholar
  9. 9.
    Cohen, S., Mamou, J., Kanza, Y., Sagiv, Y.: Xsearch: A Semantic Search Engine for Xml. In: Proc. Int’l Conf. Very Large Data Bases (VLDB), pp. 45–56 (2003)Google Scholar
  10. 10.
    Cohen, S., Kanza, Y., Kimelfeld, B., Sagiv, Y.: Interconnection Semantics for Keyword Search in Xml. In: Proc. Int’l Conf. Information and Knowledge Management (CIKM), pp. 389–396 (2005)Google Scholar
  11. 11.
    Ji, S., Li, G., Li, C., Feng, J.: Efficient Interactive Fuzzy Keyword Search. In: Proc. Int’l Conf. World Wide Web (WWW), pp. 371–380 (2009)Google Scholar
  12. 12.
    Chen, Y., Wang, W., Liu, Z., Lin, X.: Keyword Search on Structured and Semi-Structured Data. In: Proc. ACM SIGMOD Int’l Conf. Management of Data, pp. 1005–1010 (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Selvani Deepthi Kavila
    • 1
  • Ravi Ravva
    • 1
  • Rajesh Bandaru
    • 2
  1. 1.Department of Computer Science and EngineeringAnil Neerukonda Institute of Technology and SciencesVisakhapatnamIndia
  2. 2.Department of Computer Science and EngineeringGitam UniversityVisakhapatnamIndia

Personalised recommendations