Semantic integration via enterprise service bus in virtual organization breeding environments

Abstract

To attend demands faster and with lower cost, small and medium sized enterprises (SME) act in a collaboratively way in organization breeding environments through resource sharing and integration of systems. This integration is easier by the use of service oriented architecture and enterprise service bus (ESBs). However is still complex due the heterogeneity of existing data. To solve this compatibility problem among data, the ESBs could be enabled to mediate divergences with semantic support. But how to add semantic support into the ESBs to facilitate data mapping of SME in order to integrate its systems? This paper proposes the creation of an ontology as a method of semantic data analysis with the objective of solving incompatibilities among data that should be exchanged between SME. To validate the proposal some metrics are applied, they evaluate the coverage of the search terms, the wealth of knowledge representation and ontology detail level, as well as the prototype of semantic mapper developed was executed and analyzed.