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Performance Analysis of Multidimensional Indexing in Keyword Search

  • K. S. SampadaEmail author
  • Lalit Adithya
  • N. P. Kavya
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 34)

Abstract

Information retrieval from large collections of Web pages might require support of multidimensional index structures to speed up retrieval. Given a query with multiple keywords and range position that a user is concerned in, a range-based search in Web should reclaim and score the most pertinent Web pages. These queries are to be searched using both the spatial and indexed textual information. Range index and textual index are applied discretely or in efficient hybrid index structures are used in many of the proposed approaches which results in poor performance. Since merging of range and text is not straightforward to combine into current search engines, these approaches might not rank Web pages accurately. In this paper, a hybrid index technique, called range inverted index [RI2], is proposed to handle range-based Web searches. To flawlessly search and rank relevant documents, we have used R* tree and KD tree for spatial search and term-frequency-inverted document frequency (TF-IDF) for ranking the keywords in that range. Performance of these two trees are analyzed for their scalability and accuracy.

Keywords

Multidimensional index Keyword search Information retrieval R* tree KD tree Spatial index 

References

  1. 1.
    Singh, V., Venkatesha, S., Singh, A.K.: Geo-clustering of images with missing geotags. In: Proceedings of IEEE International Conference on Granular Computing, pp. 420–425 (2010)Google Scholar
  2. 2.
    Singh, V., Bhattacharya, A., Singh, A.K.: Querying spatial patterns. In: Proceedings 13th International Conference on Extending Database Technology: Advance Database Technology, pp. 418–429 (2010)Google Scholar
  3. 3.
    Hariharan, R., Hore, B., Li, C., Mehrotra, S.: Processing spatial-keyword (SK) queries in geographic information retrieval (GIR) systems. In: 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007), Banff, Alta., pp. 16–16 (2007)Google Scholar
  4. 4.
    Cao, X., Chen, L., Cong, G., Jensen, C.S., Qu, Q., Skovsgaard, A., Wu, D., Yiu, M.L.: Spatial keyword querying. J. Proc. VLDB Endow. 6(3), 217–228 (2012)Google Scholar
  5. 5.
    Lee, W.-C., Zheng, B., Li, Z., Lee, K.C.K., Wang, X., Lee, D.L.: Ir-tree: an efficient index for geographic document search. IEEE Trans. Knowl. Data Eng. 23, 585–599 (2011)Google Scholar
  6. 6.
    Cary, A., Wolfson, O., Rishe, N.: Efficient and scalable method for processing top-k spatial Boolean queries. In: Gertz, M., Ludäscher, B. (eds.) Scientific and Statistical Database Management. SSDBM 2010. Lecture Notes in Computer Science, vol. 6187. Springer, Berlin (2010)Google Scholar
  7. 7.
    Göbel, R., Henrich, A., Niemann, R., Blank, D.: A hybrid index structure for geo-textual searches. In: CIKM, pp. 1625–1628 (2009)Google Scholar
  8. 8.
    Felipe, I.D., Hristidis, V., Rishe, N.: Keyword search on spatial databases. In: Proceeding ICDE’08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, pp. 656–665 (2008)Google Scholar
  9. 9.
    Hariharan, R., Hore, B., Li, C., Mehrotra, S.: Processing spatial-keyword (sk) queries in geographic information retrieval (gir) systems. In: SSDBM (2007)Google Scholar
  10. 10.
    Tao, Y., Sheng, C.: Fast nearest neighbor search using keywords. IEEE Trans. Data Mining Knowl. Eng. 26(4) (2014)Google Scholar
  11. 11.
    Cao, X., Cong, G., Jensen, C.S., Ng, J.J., Ooi, B.C., Phan, N.T., Wu, D..: SWORS: a system for the efficient retrieval of relevant spatial web objects. In: PVLDB, vol. 5(12) pp. 1914–1917 (2012)Google Scholar
  12. 12.
    Li, W., Chen, C.X.: Efficient data modeling and querying system for multi-dimensional spatial data. In: Proceeding of 16th ACM SIGSPATIAL International Conference on Advance Geographic Information Systems, pp. 58:1–58:4 (2008)Google Scholar
  13. 13.
    Vaid, S., Jones, C.B., Joho, H., Sanderson, M.: Spatio-textual indexing for geographical search on the web. In: Bauzer Medeiros, C., Egenhofer, M.J., Bertino, E. (eds) Advances in Spatial and Temporal Databases. SSTD 2005. LNCS, vol. 3633. Springer, Berlin (2005)Google Scholar
  14. 14.
    Alsubaiee, S., Behm, A., Li, C.: Supporting location-based approximate-keyword queries. In: ACM GIS’ 10, 2–5 Nov 2010, San Jose, CA, USA (2010)Google Scholar
  15. 15.
    Aung, S.N., Sein, M.M.: Geo-textual index structure for approximate keyword search within given range on spatial database. In: Proceedings of Seventh The IIER International Conference, Singapore (2015). ISBN: 978-93-84209-80-354Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science & Engineering, RNS Institute of TechnologyVTUBengaluruIndia

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