Extracting instances of relations from web documents using redundancy

Viktor De Boer; Maarten Van Someren; Bob J Wielinga

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 proceeding › Conference contribution › Academic › peer-review

Abstract

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 language	English
Title of host publication	The Semantic Web: Research and Applications: 3rd European Semantic Web Conference, ESWC 2006 Proceedings
Publisher	Springer/Verlag
Pages	245-258
Number of pages	14
Volume	4011 LNCS
ISBN (Print)	3540345442, 9783540345442
Publication status	Published - 2006
Externally published	Yes
Event	3rd European Semantic Web Conference, ESWC 2006 - Budva, Montenegro Duration: 11 Jun 2006 → 15 Jun 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4011 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd European Semantic Web Conference, ESWC 2006
Country/Territory	Montenegro
City	Budva
Period	11/06/06 → 15/06/06

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De Boer, V., Van Someren, M., & Wielinga, B. J. (2006). Extracting instances of relations from web documents using redundancy. In The Semantic Web: Research and Applications: 3rd European Semantic Web Conference, ESWC 2006 Proceedings (Vol. 4011 LNCS, pp. 245-258). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4011 LNCS). Springer/Verlag.

De Boer, Viktor ; Van Someren, Maarten ; Wielinga, Bob J. / Extracting instances of relations from web documents using redundancy. The Semantic Web: Research and Applications: 3rd European Semantic Web Conference, ESWC 2006 Proceedings. Vol. 4011 LNCS Springer/Verlag, 2006. pp. 245-258 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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De Boer, V, Van Someren, M & Wielinga, BJ 2006, Extracting instances of relations from web documents using redundancy. in The Semantic Web: Research and Applications: 3rd European Semantic Web Conference, ESWC 2006 Proceedings. vol. 4011 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4011 LNCS, Springer/Verlag, pp. 245-258, 3rd European Semantic Web Conference, ESWC 2006, Budva, Montenegro, 11/06/06.

Extracting instances of relations from web documents using redundancy. / De Boer, Viktor; Van Someren, Maarten; Wielinga, Bob J.
The Semantic Web: Research and Applications: 3rd European Semantic Web Conference, ESWC 2006 Proceedings. Vol. 4011 LNCS Springer/Verlag, 2006. p. 245-258 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4011 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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SN - 9783540345442

VL - 4011 LNCS

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De Boer V, Van Someren M, Wielinga BJ. Extracting instances of relations from web documents using redundancy. In The Semantic Web: Research and Applications: 3rd European Semantic Web Conference, ESWC 2006 Proceedings. Vol. 4011 LNCS. Springer/Verlag. 2006. p. 245-258. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Extracting instances of relations from web documents using redundancy

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