Validation and Recommendation Engine from Service Architecture and Ontology

Daniel Mercier, Anthony Ruto

Abstract

The Cloud has emerged as a common platform for data convergence. Structured data, unstructured, serialized, or even chunks of data in various formats are now being transferred, processed, and exchanged by a multitude of services. New applications, service-oriented, rely heavily on the managing of these flows of data. The situation is such, that the perspective is changing, placing data at the center. In this context, end-users must rely on new derivative services to validate these flows of information; and expect from these services accurate feedback and some degree of intelligent recommendations. In this article, we introduce a new validation and recommendation engine encapsulated in a service, backed by ontology and a knowledge structure based on reusable components for fast integration and increased resilience.

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