Authors:
François Scharffe
1
and
Jérôme Euzenat
2
Affiliations:
1
University of Montpellier, France
;
2
INRIA, France
Keyword(s):
Semantic web, Linked data, Data linking, Ontology alignment, Ontology matching, Entity reconciliation, Object consolidation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
e-Business
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontology Matching and Alignment
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
The Web of data consists of publishing data on the Web in such a way that they can be connected together and interpreted. It is thus critical to establish links between these data, both for the Web of data and for the Semantic Web that it contributes to feed. We consider here the various techniques which have been developed for that purpose and analyze their commonalities and differences. This provides a general framework that the diverse data linking systems instantiate. From this framework we consider the relation between data linking and ontology matching activities. Although, they can be considered similar at a certain level (they both relate formal entities), they serve different purposes: one acts at the schema level and the other at the instance level. However, they would find a mutual benefit at collaborating. We thus present a scheme under which it is possible for data linking tools to take advantage of ontology alignments. We present the features of expressive alignment lan
guages that allows linking specifications to reuse ontology alignments in a natural way.
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