Towards Automatic Generation of Application Ontologies


  • Eveline R. Sacramento UFC
  • Vânia M. P. Vidal UFC
  • José Antonio F. de Macêdo UFC
  • Bernadette F. Lóscio UFC
  • Fernanda Lígia R. Lopes UFC
  • Marco A. Casanova PUC-RIo



data integration, ontologies, ontology matching, rules, schema mappings, semantic heterogeneity


In the context of the Semantic Web, a domain ontology may be used to provide the necessary support for linking together a large number of heterogeneous data sources pertaining to a same domain. In this paper, such data sources are ?rst described as local ontologies. 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 identi?cation and the association of semantically corresponding concepts, and thereby help information discovery and retrieval, and also data integration. The main contribution of this paper is a strategy to automatically generate application ontologies, considering a set of local ontologies, a domain ontology and the result of the matching between each local ontology and the domain ontology. The proposed strategy also enables the automatic generation of mappings between the domain ontology and the application ontologies, and between each application ontology and its corresponding local ontology, which are used to query the data sources through the domain ontology.


Download data is not yet available.

Author Biographies

Eveline R. Sacramento, UFC

Department of Computing

Vânia M. P. Vidal, UFC

Department of Computing

José Antonio F. de Macêdo, UFC

Department of Computing

Bernadette F. Lóscio, UFC

Department of Computing

Fernanda Lígia R. Lopes, UFC

Department of Computing

Marco A. Casanova, PUC-RIo

Department of Informatics




How to Cite

Sacramento, E. R., Vidal, V. M. P., Macêdo, J. A. F. de, Lóscio, B. F., Lopes, F. L. R., & Casanova, M. A. (2010). Towards Automatic Generation of Application Ontologies. Journal of Information and Data Management, 1(3), 535.



Regular Papers