Authors:
Thérèse Libourel
1
;
Yuan Lin
1
;
Isabelle Mougenot
1
;
Christelle Pierkot
1
and
Jean Christophe Desconnets
2
Affiliations:
1
Université Montpellier 2, France
;
2
Maison de la télédétection, France
Keyword(s):
Platform MDWeb, Meta description, Scientific workflow, Infrastructure, Conformity checking.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Process Management
;
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Modeling Formalisms, Languages and Notations
;
Object-Oriented Database Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
Scientists of the environmental domains (biology, geographical information, etc.) need to capitalize, distribute and validate their scientific experiments of varying complexities. A multi-function platform will be an adaptable candidate for replying this request. After a short introduction of our context and objective, this article presents the project MDWeb, a platform that we have conceived and realized for sharing and mutualizing geographic data. Based on this platform, our main interest is actually focused on providing users a workflow environment, which will be integrated soon after in this platform as a functional component. An introduction to a three-level workflow environment architecture (static, intermediate, dynamic) is presented. In this article, we focus mainly on the ”static” level, which concerns the first phase of constructing a business process chain, and a discussion around the ”intermediate” level, which covers both the instantiation of a business process chain and
the validation, in terms of conformity, of the generated chain.
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