Authors:
Daniel Mercier
1
and
Anthony Ruto
2
Affiliations:
1
Autodesk Research, 661 University Ave, Toronto, ON and Canada
;
2
Autodesk Research, 17 Broadwick St., Soho, London and U.K.
Keyword(s):
Validation, Recommendation, Service Architecture, Ontology, Object-oriented, Domain Engineering.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Communication and Software Technologies and Architectures
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
e-Business
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Information Systems Analysis and Specification
;
Knowledge Acquisition
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Sharing and Reuse
;
Symbolic Systems
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.