An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-10-24

AUTHORS

Sandra Geisler , Christoph Quix , Rihan Hai , Sanchit Alekh

ABSTRACT

Medical engineering (ME) is an interdisciplinary domain with short innovation cycles. Usually, researchers from several fields cooperate in ME research projects. To support the identification of suitable partners for a project, we present an integrated approach for patent classification combining ideas from topic modeling, ontology modeling & matching, bibliometric analysis, and data integration. First evaluation results show that the use of semantic technologies in patent classification can indeed increase the quality of the results. More... »

PAGES

38-52

References to SciGraph publications

  • 2015-12. A novel method for expert finding in online communities based on concept map and PageRank in HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
  • Book

    TITLE

    Data Integration in the Life Sciences

    ISBN

    978-3-319-69750-5
    978-3-319-69751-2

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-69751-2_5

    DOI

    http://dx.doi.org/10.1007/978-3-319-69751-2_5

    DIMENSIONS

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