SKOS Thesaurus Management based on Linked Data with Poolparty

نویسنده

  • Andreas Blumauer
چکیده

The process of building and maintaining thesauri, especially in corporate settings, quite often cannot be justified due to its unfavourable cost-benefit ratio. Combining different approaches to build thesauri like text-mining, machine learning, expert driven thesaurus modelling and linking open data seems to be a promising methodology to overcome this obstacle. This paper gives an overview over a thesaurus building methodology based on Linked Data which was implemented in PoolParty which is a Thesaurus Management Tool (TMT) for the Semantic Web.

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تاریخ انتشار 2009