Linking patents to knowledge sources: A context matching technique using automatic patent classification

Dilesha Seneviratne, Shlomo Geva, Guido Zuccon, Gabriela Ferraro, Magali Meireles

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Patents contain a great deal of technical knowledge and are not easy to understand without in-depth field expertise, or additional supporting materials. We hypothesise that this technical knowledge can be made more accessible to readers, regardless of their level of knowledge in the field of the patent, by linking the patents’ content to external knowledge sources. This paper investigates the process of linking patents to external knowledge sources, proposing a novel context matching technique based on an automated patent classification system. The proposed method can improve the precision of the created links, validating the utility of the context match between patent and knowledge source.

    Original languageEnglish
    Title of host publicationProceedings of the 23rd Australasian Document Computing Symposium, ADCS 2018
    EditorsAndrew Trotman, Bevan Koopman, Paul Thomas
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450365499
    DOIs
    Publication statusPublished - 11 Dec 2018
    Event23rd Australasian Document Computing Symposium, ADCS 2018 - Dunedin, New Zealand
    Duration: 11 Dec 201812 Dec 2018

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference23rd Australasian Document Computing Symposium, ADCS 2018
    Country/TerritoryNew Zealand
    CityDunedin
    Period11/12/1812/12/18

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