DocumentCode :
658631
Title :
A Meta-model and Ontology for Managing Heterogenous Alignment Resources
Author :
Ghoula, Nizar ; Nindanga, Herve ; Falquet, Gilles
Author_Institution :
ISI Lab., Univ. of Geneva, Geneva, Switzerland
Volume :
3
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
167
Lastpage :
170
Abstract :
Since the invention of the Semantic Web concept, the number of ontological and terminological resources on the Web has been increasing. These heterogeneous resources may share entities or contain similar ones. To cope with the diversity of these resources and collect them, resources repositories have been created. Matching entities belonging to different resources is then required to use or combine them, which generates alignment resources. Thus, collecting and managing resulting alignments is useful in order to compose them, compare sets of alignments for the same input resources, enrich existing alignments from each other or enhance their quality. In this paper we introduce our approach for building a repository of heterogeneous alignments. We propose to represent alignments by means of a generic model and we introduce some operators and algorithms to import, compose, intersect and merge alignments. For a concrete application we use ontology alignments and parallel corpora.
Keywords :
ontologies (artificial intelligence); resource allocation; semantic Web; heterogeneous alignments; heterogenous alignment resource management; meta-model; ontological resources; ontology alignments; parallel corpora; resources repositories; semantic Web; terminological resources; Algebra; Conferences; Merging; Ontologies; Pragmatics; Semantic Web; Semantics; Alignment resources; Heterogeneous resources; Managing alignments; Ontologies; Repositories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-2902-3
Type :
conf
DOI :
10.1109/WI-IAT.2013.175
Filename :
6690720
Link To Document :
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