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Patent Retrieval Based on Multiple Information Resources

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Information Retrieval Technology (AIRS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9994))

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Abstract

Query expansion methods have been proven to be effective to improve the average performance of patent retrieval, and most of query expansion methods use single source of information for query expansion term selection. In this paper, we propose a method which exploits external resources for improving patent retrieval. Google search engine and Derwent World Patents Index were used as external resources to enhance the performance of query expansion methods. LambdaRank was employed to improve patent retrieval performance by combining different query expansion methods with different text fields weighting strategies of different resources. Experiments on TREC data sets showed that our combination of multiple information sources for query formulation was more effective than using any single source to improve patent retrieval performance.

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Acknowledgement

This work is partially supported by grant from the Natural Science Foundation of China (No. 61272370, 61402075, 61572102, 61572098, 61272373), Natural Science Foundation of Liaoning Province, China (No. 201202031, 2014020003), State Education Ministry and The Research Fund for the Doctoral Program of Higher Education (No. 20090041110002), the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. School of Computer Science and Technology, Dalian University of Technology, Dalian, China

    Kan Xu, Hongfei Lin, Bo Xu, Liang Yang & Shaowu Zhang

  2. WISE Lab, Dalian University of Technology, Dalian, China

    Yuan Lin

Authors
  1. Kan Xu
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  2. Hongfei Lin
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  3. Yuan Lin
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  4. Bo Xu
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  5. Liang Yang
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  6. Shaowu Zhang
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Corresponding author

Correspondence to Hongfei Lin .

Editor information

Editors and Affiliations

  1. Tsinghua University , Beijing, China

    Shaoping Ma

  2. Renmin University of China , Beijing, China

    Ji-Rong Wen

  3. Tsinghua University , Beijing, China

    Yiqun Liu

  4. Renmin University of China , Beijing, China

    Zhicheng Dou

  5. Tsinghua University , Beijing, China

    Min Zhang

  6. Yahoo Labs , Sunnyvale, California, USA

    Yi Chang

  7. Renmin University of China , Beijing, China

    Xin Zhao

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Xu, K., Lin, H., Lin, Y., Xu, B., Yang, L., Zhang, S. (2016). Patent Retrieval Based on Multiple Information Resources. In: Ma, S., et al. Information Retrieval Technology. AIRS 2016. Lecture Notes in Computer Science(), vol 9994. Springer, Cham. https://doi.org/10.1007/978-3-319-48051-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-48051-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48050-3

  • Online ISBN: 978-3-319-48051-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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