XML retrieval: what about using contextual relevance?

ABSTRACT

The aim of this study is to evaluate the impact of context to better identify relevant elements in XML retrieval. Context is represented here by clues on whole document relevance. We represent context according to different points of view: by introducing document dimension while computing terms weights, by using document relevance when evaluating elements relevance or by ranking elements on document relevance. Experiments were undertaken on INEX collection, and results showed the interest of contextual relevance and a relative high precision of our proposal comparing to INEX official results.

REFERENCES

• 1: M. Lalmas and al. Some statistics about INEX 2004. INEX 2004 Workshop, 2004.
• 2: Y. Mass and M. Mandelbrod. Component ranking and automatic query refinement for XML retrieval. In Proceedings of INEX 2004, Springer, 2005.
• 3: K. Sauvagnat and M. Boughanem. Using a relevance propagation method for adhoc and heterogeneous tracks. In Proceedings of INEX 2004, Springer, 2005.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Relevance feedback

  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.2 Design Methodology
  I.7 DOCUMENT AND TEXT PROCESSING
      I.7.2 Document Preparation

          Nouns: XML

General Terms:
Algorithms, Design, Performance

Keywords:
XML retrieval, contextual relevance, relevance propagation