Literature DB >> 22874181

An advanced search engine for patent analytics in medicinal chemistry.

Emilie Pasche1, Julien Gobeill, Douglas Teodoro, Arnaud Gaudinat, Dina Vishnykova, Christian Lovis, Patrick Ruch.   

Abstract

Patent collections contain an important amount of medical-related knowledge, but existing tools were reported to lack of useful functionalities. We present here the development of TWINC, an advanced search engine dedicated to patent retrieval in the domain of health and life sciences. Our tool embeds two search modes: an ad hoc search to retrieve relevant patents given a short query and a related patent search to retrieve similar patents given a patent. Both search modes rely on tuning experiments performed during several patent retrieval competitions. Moreover, TWINC is enhanced with interactive modules, such as chemical query expansion, which is of prior importance to cope with various ways of naming biomedical entities. While the related patent search showed promising performances, the ad-hoc search resulted in fairly contrasted results. Nonetheless, TWINC performed well during the Chemathlon task of the PatOlympics competition and experts appreciated its usability.

Mesh:

Year:  2012        PMID: 22874181

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Improving average ranking precision in user searches for biomedical research datasets.

Authors:  Douglas Teodoro; Luc Mottin; Julien Gobeill; Arnaud Gaudinat; Thérèse Vachon; Patrick Ruch
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

  1 in total

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