Authors:
Jérôme Dantan
1
;
Yann Pollet
2
and
Salima Taibi
3
Affiliations:
1
CEDRIC, CNAM and Esitpa-APCA, France
;
2
CEDRIC and CNAM, France
;
3
Esitpa-APCA, France
Keyword(s):
Goal, Algebra, Semantic Web, Ontology, Semantic Web Service.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Communication and Software Technologies and Architectures
;
Cross-Feeding between Data and Software Engineering
;
e-Business
;
Enterprise Information Systems
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Languages, Tools and Architectures
;
Model-Driven Software Development
;
Requirements Engineering Frameworks and Models
;
Service-Oriented Architectures
;
Service-Oriented Software Engineering and Management
;
Software Engineering
;
Symbolic Systems
;
Technology Platforms
Abstract:
In a global context of sharing information, such as Big Data and cloud computing paradigms, researchers are developing many means to deal with new data models and algorithms. However, the development and reuse of these ones is complex because of the heterogeneity of environments, data formats and contexts of use all around of the world. That's why a way to share and reuse algorithms and treatments through a common formalism is needed, for both machines and computers. The ultimate goal of our work is to provide a collaborative platform for not only experts but also machines automatically develop, reuse and chain treatments, computations and models. For this, we rely on a goal-oriented approach which is associated with the Semantic Web, to establish a common formalism to design models for worldwide researchers. In this article, we propose the formalization of our approach thanks to an algebra which is linked to the Semantic Web standards. Finally, we provide a high-level language dedic
ated to both computers and experts, illustrated with examples that are linked to the agriculture domain.
(More)