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Efficient Top-K keyword search on XML streams

  • Ling Li Li*
  • , Hong Zhi Wang
  • , Hong Gao
  • , Jian Zhong Li
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Keywords are suitable for query XML streams without schema information. In current forms of keywords search on XML streams and rank functions do not always represent users' intensions. This paper addresses this problem in another aspect. In this paper, the skyline Top-K keyword queries, a novel kind of keyword queries on XML streams, are presented. For such queries, skyline is used to choose results on XML streams without considering the complicated factors influencing the relevance to queries. With skyline query processing techniques, two techniques, are presented to process skyline Top-K keyword single queries and multi-queries on XML streams efficiently. Extensive experiments are performed to verify the effectiveness and efficiency of these techniques presented in this paper. According to the experimental results, the algorithms are not sensitive to the parameters such as the number of keywords, the number of results, the number of queries, and the runtime is approximately linear to the size of document.

Original languageEnglish
Pages (from-to)1561-1577
Number of pages17
JournalRuan Jian Xue Bao/Journal of Software
Volume23
Issue number6
DOIs
StatePublished - Jun 2012
Externally publishedYes

Keywords

  • Keyword search
  • Skyline
  • Streams
  • Top-K
  • XML

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