Semantic B2B integration: issues in ontology-based approaches
ACM SIGMOD Record
Multi-Agent System Process Control Ontology
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Domain ontologies evolutions to solve semantic conflicts
ODBIS'05/06 Proceedings of the First and Second VLDB conference on Ontologies-based databases and information systems
Bioinformatics data source integration based on semantic relationships across species
VDMB'06 Proceedings of the First international conference on Data Mining and Bioinformatics
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Interoperability is a key point for integrating heterogeneous computing systems. A usual approach proposes the integration of the conceptual databases schemes into a global conceptual scheme, to resolve syntactic and structural heterogeneity. Moreover, semantic problems can remain. Ontologies have been largely designated to overcome semantic heterogeneity. We propose the specification of a formal ontology about the specific knowledge domain to be shared among several database systems build a posteriori of the ontology specification. We reach this integration through a global scheme, developed as a software layer among the databases under consideration. To test this approach we elaborated a case study, based upon hypothetical queries submitted to heterogeneous databases, with data on soil domain, to identify the soil most appropriate to a certain culture. The results are promising, but crucial, in our approach, is the acceptance for a given community of a common vocabulary and its relationships and that are captured by the ontology and transformed to the target conceptual models.