Authors:
Hesley Py
;
Lucia Castro
;
Fernanda Araujo Baião
and
Asterio Tanaka
Affiliation:
Federal University of the State of Rio de Janeiro, Brazil
Keyword(s):
Data integration, Business process, Services, Information architecture.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Organisational Issues on Systems Integration
Abstract:
Business-IT alignment is gaining more importance in enterprises, and is already considered essential for efficiently achieving enterprise goals. This led organizations to follow Enterprise Architecture approaches, with the Information Architecture as one of its pillars. Information architecture aims at providing an integrated and holistic view of the business information, and this requires applying a data integration approach. However, despite several works on data integration research, the problem is far from being solved. The highly heterogeneous computer environments present new challenges such as distinct DBMSs, distinct data models, distinct schemas and distinct semantics, all in the same scenario. On the other hand, new issues in enterprise environment, such as the emergence of BPM and SOA approaches, contribute to a new solution for the problem. This paper presents a service-based approach for data integration, in which the services are derived from the organization’s business
process models. The proposed approach comprises a framework of different types of services (data services, concept services), a method for data integration service identification from process models, and a metaschema needed for the automation and customization of the proposed approach in a specific organization. We focus on handling heterogeneities with regard to different DBMSs and differences among data models, schemas and semantics.
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