Information Retrieval

, Volume 8, Issue 4, pp 571–600

Hybrid XML Retrieval: Combining Information Retrieval and a Native XML Database

  • Jovan Pehcevski
  • James A. Thom
  • Anne-Marie Vercoustre
Article

DOI: 10.1007/s10791-005-0748-1

Cite this article as:
Pehcevski, J., Thom, J.A. & Vercoustre, AM. Inf Retrieval (2005) 8: 571. doi:10.1007/s10791-005-0748-1

Abstract

This paper investigates the impact of three approaches to XML retrieval: using Zettair, a full-text information retrieval system; using eXist, a native XML database; and using a hybrid system that takes full article answers from Zettair and uses eXist to extract elements from those articles. For the content-only topics, we undertake a preliminary analysis of the INEX 2003 relevance assessments in order to identify the types of highly relevant document components. Further analysis identifies two complementary sub-cases of relevance assessments (General and Specific) and two categories of topics (Broad and Narrow). We develop a novel retrieval module that for a content-only topic utilises the information from the resulting answer list of a native XML database and dynamically determines the preferable units of retrieval, which we call Coherent Retrieval Elements. The results of our experiments show that—when each of the three systems is evaluated against different retrieval scenarios (such as different cases of relevance assessments, different topic categories and different choices of evaluation metrics)—the XML retrieval systems exhibit varying behaviour and the best performance can be reached for different values of the retrieval parameters. In the case of INEX 2003 relevance assessments for the content-only topics, our newly developed hybrid XML retrieval system is substantially more effective than either Zettair or eXist, and yields a robust and a very effective XML retrieval.

Keywords

XML information retrieval XML databases eXist Zettair INEX 

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Jovan Pehcevski
    • 1
  • James A. Thom
    • 1
  • Anne-Marie Vercoustre
    • 2
  1. 1.RMIT UniversityMelbourneAustralia
  2. 2.INRIARocquencourtFrance

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