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IADIS International Journal on Computer Science and Information Systems

Published by IADIS (International Association for Development of the Information Society) • ISSN (Online): 1646-3692 • ISSN (Print): 1646-3692
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Context Detection in Ontology

Achraf Mtibaa *
Higher Institute of Electronics *
Communication MIRACL Laboratory *
University of Sfax *
Tunisia Researcher *
* Maha Maalej , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia Faïez Gargouri , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia (Portugal)
* Maha Maalej , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia Faïez Gargouri , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia (Portugal)
* Maha Maalej , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia Faïez Gargouri , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia (Portugal)
* Maha Maalej , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia Faïez Gargouri , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia (Portugal)
* Maha Maalej , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia Faïez Gargouri , Higher institute of computing and multimedia MIRACL Laboratory , University of Sfax, Tunisia (Portugal)
Published: December 15, 2012
Pages: 117–128

Abstract

In the requirement specification phase, several use rs express the same requirement. In fact, they are situated in different contexts. The context detection of such expressed requirement faces many problems. Among these problems, we cite the implicit aspect o f a context. In this work, we propose an approach t o detect the requirement context by expliciting this context notion with contextual parameters. Our approach is able to infer the context after knowing the contextual parameters of the user requirement. To realize our proposed approach, we updated the ContextOntoMR prototype.

Keywords

Context Parameters Context Detection Ontology Inference Requirement Specification
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Declarations & Ethics

Funding: This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest: The authors declare no competing financial or institutional interests.
Peer Review: Double-blind peer reviewed by international subject specialists.
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
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Mtibaa, et al. (2012). Context Detection in Ontology. IADIS International Journal on Computer Science and Information Systems, 7(2). https://doi.org/10.33965/ijcsis_2012_v7i2_10
Mtibaa, et al. "Context Detection in Ontology." IADIS International Journal on Computer Science and Information Systems, vol. 7, no. 2, 2012. https://doi.org/10.33965/ijcsis_2012_v7i2_10
Mtibaa, et al. "Context Detection in Ontology." IADIS International Journal on Computer Science and Information Systems 7, no. 2 (2012). https://doi.org/10.33965/ijcsis_2012_v7i2_10
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