• Bootstrapping a historical commodities lexicon with SKOS and DBpedia

    Author(s):
    Beatrice Alex, Jim Clifford (see profile) , Ewan Klein
    Date:
    2014
    Item Type:
    Conference proceeding
    Conf. Title:
    8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)
    Conf. Org.:
    Association for Computational Linguistics
    Conf. Loc.:
    Gothenburg, Sweden
    Conf. Date:
    April 2014
    Tag(s):
    Text mining, Commodities Histories, DBpedia
    Permanent URL:
    http://dx.doi.org/10.17613/826x-1g54
    Abstract:
    Named entity recognition for novel domains can be challenging in the absence of suitable training materials for machine-learning or lexicons and gazetteers for term look-up. We describe an approach that starts from a small, manually created word list of commodities traded in the nineteenth century, and then uses semantic web techniques to augment the list by an order of magnitude, drawing on data stored in DBpedia. This work was conducted during the Trading Consequences project on text mining and visualisation of historical documents for the study of global trading in the British empire.
    Metadata:
    Published as:
    Conference proceeding    
    Status:
    Published
    Last Updated:
    4 years ago
    License:
    All Rights Reserved
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