Black magic meta data - Get a glimpse behind the scene

    Research output: Contribution to journalConference article

    3 Scopus citations

    Abstract

    This paper presents how we utilise natural language processing techniques in order to "automagically" classify information stored in a CRIS, and aggregate the information in a researchers portfolio into a "fingerprint" describing a researchers research interest. Our approach exploits the fact that entities in a CRIS typically include some kind of text - most notable example being publication abstracts. We explain how the approach can result in automatic detailed classification of information, and argue how we can take advantage of such information in order to facilitate networking. Finally, we describe how we have realised the solution within our CRIS system.

    Original languageEnglish
    Pages (from-to)239-244
    Number of pages6
    JournalProcedia Computer Science
    Volume33
    DOIs
    StatePublished - Jan 1 2014
    Event12th International Conference on Current Research Information Systems, CRIS 2014 - Rome, Italy
    Duration: May 13 2014May 15 2014

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    Keywords

    • Auto-classification
    • CERIF
    • CRIS systems
    • Fingerprinting
    • Keywords
    • Term extraction

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