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Exploiting relation extraction for ontology alignment
Abstract When multiple ontologies are used within oWhen multiple ontologies are used within one application system, aligning the ontologies is a prerequisite for interoperability and unhampered semantic navigation and search. Various methods have been proposed to compute mappings between elements from different ontologies, the majority of which being based on various kinds of similarity measures. As a major shortcoming of these methods it is difficult to decode the semantics of the results achieved. In addition, in many cases they miss important mappings due to poorly developed ontology structures or dissimilar ontology designs. I propose a complementary approach making massive use of relation extraction techniques applied to broad-coverage text corpora. This approach is able to detect different types of semantic relations, dependent on the extraction techniques used. Furthermore, exploiting external background knowledge, it can detect relations even without clear evidence in the input ontologies themselves.idence in the input ontologies themselves.
Abstractsub When multiple ontologies are used within oWhen multiple ontologies are used within one application system, aligning the ontologies is a prerequisite for interoperability and unhampered semantic navigation and search. Various methods have been proposed to compute mappings between elements from different ontologies, the majority of which being based on various kinds of similarity measures. As a major shortcoming of these methods it is difficult to decode the semantics of the results achieved. In addition, in many cases they miss important mappings due to poorly developed ontology structures or dissimilar ontology designs. I propose a complementary approach making massive use of relation extraction techniques applied to broad-coverage text corpora. This approach is able to detect different types of semantic relations, dependent on the extraction techniques used. Furthermore, exploiting external background knowledge, it can detect relations even without clear evidence in the input ontologies themselves.idence in the input ontologies themselves.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-17749-1_19  +
Has author Beisswanger E. +
Has extra keyword Application systems + , Background knowledge + , Extraction techniques + , Ontology alignment + , Ontology design + , Relation extraction + , Semantic navigation + , Semantic relations + , Similarity measure + , Text corpora + , Wikipedia + , Alignment + , Semantic web + , Semantics + , Ontology +
Has keyword Ontology Alignment + , Relation Extraction + , Wikipedia +
Isbn 3642177484; 9783642177484  +
Issue PART 2  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 289–296  +
Published in Lecture Notes in Computer Science +
Title Exploiting relation extraction for ontology alignment +
Type conference paper  +
Volume 6497 LNCS  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 7 November 2014 22:30:45  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 22:30:45  +
DateThis property is a special property in this wiki. 2010  +
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