Authors:
Eveline R. Sacramento
1
;
Vânia M. P. Vidal
1
;
José Antônio F. de Macêdo
1
;
Bernadette F. Lóscio
1
;
Fernanda Lígia R. Lopes
1
;
Fernando Lemos
1
and
Marco A. Casanova
2
Affiliations:
1
Federal University of Ceará, Brazil
;
2
PUC-Rio, Brazil
Keyword(s):
Semantic Heterogeneity, Ontologies, Ontology Matching, Data Integration, Schema Mappings, Rules.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Information Systems
;
Middleware Integration
;
Middleware Platforms
;
Technology Platforms
Abstract:
In the Semantic Web, domain ontologies can provide the necessary support for linking together a large number of heterogeneous data sources. In our proposal, these data sources are describe as local ontologies using an ontology language. Then, each local ontology is rewritten as an application ontology, whose vocabulary is restricted to be a subset of the vocabulary of the domain ontology. Application ontologies enable the identification and the association of semantically corresponding concepts, so they are useful for enhancing tasks like data discovery and integration. The main contribution of this work is a strategy to automatically generate such application ontologies and mappings, considering a set of local ontologies, a domain ontology and the result of the matching between each local ontology and the domain ontology.