ESWC 2014, 11th Extended Semantic Web Conference, Demos Track, Vol. CCIS 476, May 25-29, 2014, Anissaras, Crete
Entities play a key role in knowledge bases in general and in the Web of Data in particular. Entities are generally described with a lot of properties, this is the case for DBpedia. It is, however, dicult to assess which ones are more \important" than others for particular tasks such as visualizing the key facts of an entity or ltering out the ones which will yield better instance matching. In this paper, we perform a reverse engineering of the Google Knowledge graph panel to nd out what are the most \important" properties for an entity according to Google. We compare these results with a survey we conducted on 152 users. We nally show how we can represent and explicit this knowledge using the Fresnel vocabulary.
Poster / Demo
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