Exploring Structured Documents and Query Formulation Techniques for Patent Retrieval

  • Walid Magdy
  • Johannes Leveling
  • Gareth J. F. Jones
Conference paper

DOI: 10.1007/978-3-642-15754-7_48

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6241)
Cite this paper as:
Magdy W., Leveling J., Jones G.J.F. (2010) Exploring Structured Documents and Query Formulation Techniques for Patent Retrieval. In: Peters C. et al. (eds) Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg

Abstract

This paper presents the experiments and results of DCU in CLEF-IP 2009. Our work applied standard information retrieval (IR) techniques to patent search. Different experiments tested various methods for the patent retrieval, including query formulation, structured index, weighted fields, document filtering, and blind relevance feedback. Some methods did not show expected good retrieval effectiveness such as blind relevance feedback, other experiments showed acceptable performance. Query formulation was the key to achieving better retrieval effectiveness, and this was performed through assigning higher weights to certain document fields. Further experiments showed that for longer queries, better results are achieved but at the expense of additional computations. For the best runs, the retrieval effectiveness is still lower than for IR applications for other domains, illustrating the difficulty of patent search. The official results have shown that among fifteen participants we achieved the seventh and the fourth ranks from the mean average precision (MAP) and recall point of view, respectively.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Walid Magdy
    • 1
  • Johannes Leveling
    • 1
  • Gareth J. F. Jones
    • 1
  1. 1.Centre for Next Generation Localization, School of ComputingDublin City UniversityDublin 9Ireland

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