Semantic Web Enabled, Open Source Language Technology
نویسندگان
چکیده
This paper motivates the need for Semantic Web enabled language technology tools and introduces a set of freely available, customisable components which integrate data about language with Semantic Web data in the form of ontologies. We also argue for a closer integration between Natural Language Processing (NLP) and Semantic Web tools and infrastructures and present an integrated platform for knowledge and information management, that uses RDF to encode and store language data and resources.
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تاریخ انتشار 2003