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Towards a Novel Approach for Enterprise Knowledge Capitalization Utilizing an Ontology and Collaborative Decision-Making: Application to Inotis Enterprise

Towards a Novel Approach for Enterprise Knowledge Capitalization Utilizing an Ontology and Collaborative Decision-Making: Application to Inotis Enterprise

Fatima Zohra Benkaddour, Noria Taghezout, Bouabdellah Ascar
Copyright: © 2016 |Volume: 8 |Issue: 1 |Pages: 24
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466690523|DOI: 10.4018/IJDSST.2016010101
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MLA

Benkaddour, Fatima Zohra, et al. "Towards a Novel Approach for Enterprise Knowledge Capitalization Utilizing an Ontology and Collaborative Decision-Making: Application to Inotis Enterprise." IJDSST vol.8, no.1 2016: pp.1-24. http://doi.org/10.4018/IJDSST.2016010101

APA

Benkaddour, F. Z., Taghezout, N., & Ascar, B. (2016). Towards a Novel Approach for Enterprise Knowledge Capitalization Utilizing an Ontology and Collaborative Decision-Making: Application to Inotis Enterprise. International Journal of Decision Support System Technology (IJDSST), 8(1), 1-24. http://doi.org/10.4018/IJDSST.2016010101

Chicago

Benkaddour, Fatima Zohra, Noria Taghezout, and Bouabdellah Ascar. "Towards a Novel Approach for Enterprise Knowledge Capitalization Utilizing an Ontology and Collaborative Decision-Making: Application to Inotis Enterprise," International Journal of Decision Support System Technology (IJDSST) 8, no.1: 1-24. http://doi.org/10.4018/IJDSST.2016010101

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Abstract

In this paper, the authors describe the development of a Decision Support System (DSS) in the spunlace nonwoven production industry. The suggested DSS utilizes domain ontology and a collaborative platform that allows operators to share and exchange experiences in the industrial diagnosis in order to have new ideas and useful information for collaborative decision-making. One of the main aspects addressed in the decision-making process was the knowledge management of the most frequently breakdowns of machines as the card, aquajet etc. This paper introduces the architecture of the system, including several modules such as, Reasoning engine and Similarity module, etc. The decision-making is reinforced by a case-based reasoning to recommend solutions where previously solved cases (problem) are compared to recently encountered ones using the same ontology to define similarity between cases. Some experiments have been conducted in INOTIS enterprise to indicate the efficiency of the proposed system.

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