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

Benkaddour, Fatima Zohra; Taghezout, Noria; Ascar, Bouabdellah

doi:10.4018/ijdsst.2016010101

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…Finding these solutions in a short time will improve the company productivity. The work presented here is a part of collaborative decision support system [2]. This system is the first system that provides answers to non-woven operators for their diagnosis problems by using a domain ontology, which represents the knowledge source and casebased reasoning.…”

Section: A Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis

Benkaddour¹,

Taghezout²,

Kaddour-Ahmed³

et al. 2018

IJIMAI

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In this paper, we propose a global architecture of a recommender tool, which represents a part of an existing collaborative platform. This tool provides diagnostic documents for industrial operators. The recommendation process considered here is composed of three steps: Collecting and filtering information; Prediction or recommendation step; evaluating and improvement. In this work, we focus on collecting and filtering step. We mainly use information result from collaborative sessions and documents describing solutions that are attributed to the complex diagnostic problems. The developed tool is based on collaborative filtering that operates on users' preferences and similar responses.

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Section: A Problem Statementmentioning

confidence: 99%

“…Fig. 3 represents the summary architecture of the collaborative decision support system [2] for which we develop the recommendation module.…”

Section: Global Architecturementioning

confidence: 99%

An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis

Benkaddour¹,

Taghezout²,

Kaddour-Ahmed³

et al. 2018

IJIMAI

Self Cite

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“…After identifying the problem, nonwovens operators can use the developed CDSS [3] in order to find some solutions to their problem in two several ways. First, throughout case based reasoning, it compares the target case to source cases based on similarity measure.…”

Section: B Comparison With Other Diagnosis Systemsmentioning

confidence: 99%

“…In [3], authors designed the first Collaborative Decision Support System «CDSS» to deal with complex decision problems that are related to spunlace nonwovens industry.…”

mentioning

confidence: 99%

Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

Benkaddour¹,

Taghezout²,

Ascar³

2016

IJIMAI

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-In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agentbased modelling with case-based reasoning that utilizes similarity measures and preferences module. The main purpose of our study is to compare and evaluate the most suitable similarity measure for our case. Furthermore, operators that are usually geographically dispersed, have to collaborate and negotiate to achieve mutual agreements, especially when their proposals (diagnosis) lead to a conflicting situation. The experimentation shows that the suggested agent-based approach is very interesting and efficient for operators and experts who collaborate in INOTIS enterprise.

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A New Model for Integrating Phases of Decision-Making and Knowledge Base for Improving Customer Satisfaction

Hadi

2017

J. Info. Know. Mgmt.

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Knowledge base is becoming a key factor within organisations, since it can maximise the probability and impact of customer satisfaction in, for example, an airline company. Therefore, phases of decision-making and knowledge base are widely used in airline companies to improve the degree of customer satisfaction. The objective of this paper is to develop a customer satisfaction model by integrating the phases of decision-making and knowledge base of Royal Jordanian Airlines. The data collection for this study is achieved quantitatively through a survey based on a sample set of 130. All individuals in the sample are employed by Royal Jordanian Airlines and are targeted with questionnaires, while the smart partial least squares (PLSs) technique is employed to analytically test each hypothesis. The results of the study find a positive interaction between the decision-making phases of intelligence and design in enhancing customer satisfaction, which is fully mediated by knowledge base. In addition, the results find a positive interaction between the decision-making phases of choice and implementation in enhancing customer satisfaction, which is partially mediated by knowledge base.

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

Cited by 3 publications

References 16 publications

An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis

An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis

Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

A New Model for Integrating Phases of Decision-Making and Knowledge Base for Improving Customer Satisfaction

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