In this document we describe our approach to a specific subtask of ontology population, the extraction of instances of relations. We present & generic approach with which we axe 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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
De Boer, V., Van Someren, M., & Wielinga, B. J. (2006). Extracting instances of relations from Web documents using redundancy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4011 LNCS, pp. 245–258). Springer Verlag. https://doi.org/10.1007/11762256_20
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