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Combined Language Processing Methods and Mash-Up System for Improving Retrieval in Diabetes Related Patents

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Book cover Multidisciplinary Information Retrieval (IRFC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8849))

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Abstract

This paper describes a prototype medical patent search system based on combined language processing methods. The fine tuning and customization of the system developed is directed towards diabetes centered drugs. The system incorporates combined methods for improving patents searching and ranking of the retrieved data. The paper presents a detailed scheme of the system along with all processing steps (NLP processing, structural and textual indexing, clustering, patent decomposition, query processing, reordering retrieval results). As a main contribution of the work, a mashed system composed of several services for refinement of searching diabetes related patents is built on top of these methods that will aid individuals; medical personal or pharmaceutical companies refine the complex task of searching diabetes related patents.

The evaluation showed that using composed search from document sections resulted in a higher total similarity measure. The Quality of Experience (QoE) evaluation showed a very positive level of user satisfaction.

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Author information

Authors and Affiliations

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

    Ivan Chorbev, Danco Davcev & Daniela Boshnakoska

Authors
  1. Ivan Chorbev
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  2. Danco Davcev
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  3. Daniela Boshnakoska
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Tallinn University, Narva mnt 25, Tallinn, Estonia

    David Lamas

  2. Insight Centre for Data Analytics, Unit for Natural Language Processing, IDA, National University of Ireland, Business Park, Lower Dangan, Galway, Ireland

    Paul Buitelaar

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Chorbev, I., Davcev, D., Boshnakoska, D. (2014). Combined Language Processing Methods and Mash-Up System for Improving Retrieval in Diabetes Related Patents. In: Lamas, D., Buitelaar, P. (eds) Multidisciplinary Information Retrieval. IRFC 2014. Lecture Notes in Computer Science, vol 8849. Springer, Cham. https://doi.org/10.1007/978-3-319-12979-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-12979-2_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12978-5

  • Online ISBN: 978-3-319-12979-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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