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)


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.


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


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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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