Extracting instances of relations from web documents using redundancy

Viktor De Boer, Maarten Van Someren, Bob J Wielinga

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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.
Original languageEnglish
Title of host publicationThe Semantic Web: Research and Applications: 3rd European Semantic Web Conference, ESWC 2006 Proceedings
Number of pages14
Volume 4011 LNCS
ISBN (Print)3540345442, 9783540345442
Publication statusPublished - 2006
Externally publishedYes
Event3rd European Semantic Web Conference, ESWC 2006 - Budva, Montenegro
Duration: 11 Jun 200615 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4011 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd European Semantic Web Conference, ESWC 2006


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