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Exploring structured documents and query formulation techniques for patent retrieval

Magdy, Walid and Leveling, Johannes and Jones, Gareth J.F. (2010) Exploring structured documents and query formulation techniques for patent retrieval. In: CLEF 2009, 30 Sept - 2 Oct 2009, Corfu, Greece.

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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:query formulation; retrieval effectiveness
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments. Lecture Notes in Computer Science 6241. Springer-Verlag.
Official URL:
Copyright Information:© 2010 Springer-Verlag. The original publication is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16423
Deposited On:22 Jul 2011 09:59 by Shane Harper. Last Modified 22 Jul 2011 09:59

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