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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Comparison of Knowledge Extraction Tools for the Semantic Web
verfasst von : Aldo Gangemi
Erschienen in: The Semantic Web: Semantics and Big Data
Verlag: Springer Berlin Heidelberg
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In the last years, basic NLP tasks: NER, WSD, relation extraction, etc. have been configured for Semantic Web tasks including ontology learning, linked data population, entity resolution, NL querying to linked data, etc. Some assessment of the state of art of existing Knowledge Extraction (KE) tools when applied to the Semantic Web is then desirable. In this paper we describe a landscape analysis of several tools, either conceived specifically for KE on the Semantic Web, or adaptable to it, or even acting as aggregators of extracted data from other tools. Our aim is to assess the currently available capabilities against a rich palette of ontology design constructs, focusing specifically on the actual semantic reusability of KE output.