Towards Enriching Linked Open Data via Open Information Extraction

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
The descriptions of various entities on Linked Data repositories are subject to constant renewals and modifications, with respect to both the descriptions of concepts and relations and entities realizing their instantiations. Thus, the underlying ontologies have to be updated accordingly in order to reflect these changes. This paper presents a system for examining the possibilities of discovering new relations and updating/verifying existing ones for entities described in Linked Data repositories by using open information extraction techniques.
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