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International Conference on ICT Innovations

ICT Innovations 2012: ICT Innovations 2012 pp 275–284Cite as

Ontology Supported Patent Search Architecture with Natural Language Analysis and Fuzzy Rules

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 207))

Abstract

We have recently witnessed a rapid growth in scientific information retrieval research related to patents. Retrieving relevant information from and about patents is a non-trivial task and poses many technical challenges. In this paper we present a new approach to patent search that combines semantic knowledge and ontologies used to annotate patents processed with natural language processing tools. The architecture uses fuzzy logic rules to organize the annotated patents and achieve more precise retrieval. Our approach to combine proven techniques in a composite architecture showed improved results compared to pure textual based indexing and retrieval. We also showed that results ranked using semantic annotation are better than results based on simple keyword frequencies.

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References

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Author information

Authors and Affiliations

  1. University for Information Science and Technology “St. Paul the Apostle”, Building at ARM, Partizanska bb, 6000, Ohrid, R. Macedonia

    Daniela Boshnakoska & Danco Davcev

  2. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, str. “Rugjer Boshkovikj” 16, P.O. Box 393, 1000, Skopje, Macedonia

    Ivan Chorbev

Authors
  1. Daniela Boshnakoska
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  2. Ivan Chorbev
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  3. Danco Davcev
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Corresponding author

Correspondence to Daniela Boshnakoska .

Editor information

Editors and Affiliations

  1. , Faculty of Computer Science, Ss Cyrill and Methodius University, Ruger Boskovic 16, POBox 393, Skopje, 1000, Macedonia

    Smile Markovski

  2. , Faculty of Information Sciences, Ss Cyrill and Methodius University, Ruger Boskovic 16, Skopje, 1000, Macedonia

    Marjan Gusev

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© 2013 Springer-Verlag Berlin Heidelberg

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Boshnakoska, D., Chorbev, I., Davcev, D. (2013). Ontology Supported Patent Search Architecture with Natural Language Analysis and Fuzzy Rules. In: Markovski, S., Gusev, M. (eds) ICT Innovations 2012. ICT Innovations 2012. Advances in Intelligent Systems and Computing, vol 207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37169-1_27

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  • DOI: https://doi.org/10.1007/978-3-642-37169-1_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37168-4

  • Online ISBN: 978-3-642-37169-1

  • eBook Packages: EngineeringEngineering (R0)

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