Semantic Web Dog Food

Presented at: 3rd European Semantic Web Conference (ESWC2006)

by Viktor de Boer, Maarten van Someren, Bob Wielinga

In this document we describe our approach to a specific subtask of ontology population, the extraction of instances of relations. We present a generic approach with which we are able to extract information from documents on the Web. The method exploits redundancy of information to compensate for loss of precision caused by the use of domain independent extraction methods. In this paper, we present the general approach and describe our implementation for a specific relation instance extraction task in the art domain. For this task, we describe experiments, discuss evaluation measures and present the results.

Extracting Instances of Relations from Web Documents using Redundancy was presented at this event.

Keywords: Ontology population / generation, Web data extraction

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2006/paper/deboer-vansomeren
Same as: http://www.eswc2006.org/full-papers/#deboer-vansomeren

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