Using small XML elements to support relevance

ABSTRACT

Small XML elements are often estimated relevant by the retrieval model but they are not desirable retrieval units. This paper presents a generic model that exploits the information obtained from small elements. We identify relationships between small and relevant elements and use this linking information to reinforce the relevance of other elements before removing the small ones. Our experiments using the INEX testbed show the effectiveness of our approach.

REFERENCES

• 1: Charles L. A. Clarke, Controlling overlap in content-oriented XML retrieval, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil [doi>10.1145/1076034.1076089]
• 2: N. Fuhr, M. Lalmas, S. Malik, and G. Kazai, editors. Inititive for the evaluation of XML Retrieval. Proceedings of the Fourth Workshop (INEX 2005), Germany, 2005.
• 3: Jaap Kamps , Maarten de Rijke , Börkur Sigurbjörnsson, Length normalization in XML retrieval, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom [doi>10.1145/1008992.1009009]
• 4: Vojkan Mihajlovic , Johan List , Vojkan Mihajlovi , Georgina Ramírez , Arjen P. Vries , Djoerd Hiemstra , Henk Ernst Blok, TIJAH: Embracing IR Methods in XML Databases, Information Retrieval, v.8 n.4, p.547-570, December 2005 [doi>10.1007/s10791-005-0747-2]
• 5: Y. Mass and M. Mandekbrod. Retrieving the most relevant XML Components. In N. Fuhr, S. Malik, and M. Lalmas, editors, INEX 2003 Workshop Proceedings, 2003.
• 6: G. Ramirez, T. Westerveld, and A. de Vries. Using Structural Relationships for Focused XML Retrieval. In FQAS 2006. Springer, 2006.

INDEX TERMS

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

General Terms:
Algorithms, Experimentation

Keywords:
XML retrieval, length normalization, score propagation