Algorithms for efficient structure-based grouping in XML-OLAP

  • Authors:
  • Chantola Kit;Toshiyuki Amagasa;Hiroyuki Kitagawa

  • Affiliations:
  • University of Tsukuba, Japan;University of Tsukuba, Japan;University of Tsukuba, Japan

  • Venue:
  • Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
  • Year:
  • 2008

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Abstract

This paper discusses algorithms that efficiently compute structural grouping over XML data, which is a core operation in the interactive analysis of XML data, called "XML-OLAP". XML-OLAP allows interactive analysis over XML data to discover important information, and aggregation computation according to XML's tree hierarchy or TOPOLOGICAL ROLLUP, which plays a key role in XML structure-based grouping. We propose several variations of algorithms for efficient TOPOLOGICAL ROLLUP computation. Initially, these are basic algorithms: Top-Down and Bottom-Up, which are based on well-known Structural Join algorithms. We then propose a modified Bottom-Up algorithm to improve applicability, and the Single-Scan algorithms that make use of dedicated data structures. We finally perform comparative experimental analysis over the proposed algorithms, and demonstrate efficiency.