2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom) 2013
DOI: 10.1109/coginfocom.2013.6719281
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Toward a cognitive based approach for knowledge structuring

Abstract: Competitiveness led factories, today, to be much more careful with their product development process, more accurate with their human resources and involve a diversity of actors such as operators, technicians, engineers, etc. creating heterogeneous knowledge domains. In this paper, we aim to present a comprehensive explanation of an approach regarding knowledge extraction and structuring in the factory. We begin our paper with an overview about the context of our research proposal. Then, we explain different co… Show more

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Cited by 3 publications
(3 citation statements)
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References 14 publications
(12 reference statements)
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“…Knowledge representation is central to cognition, and it follows that that representation systems, knowledge acquisition, and reasoning processes are studied by many within this multidiscipline. To mention a few examples, we draw attention to the needs of representing spatial information (Karimipour and Niroo, 2013), computer system design (Shakhnov et al, 2013), business processes (Szmodics, 2015), medical decision making (Minutolo et al, 2014), knowledge acquisition (Cao et al, 2013), knowledge provenenceprovenance tracking (Mittal et al, 2018), and, of course, cognitively informed representation systems (Dhuieb et al, 2013;Savić et al, 2017).…”
Section: Knowledge Representationmentioning
confidence: 99%
“…Knowledge representation is central to cognition, and it follows that that representation systems, knowledge acquisition, and reasoning processes are studied by many within this multidiscipline. To mention a few examples, we draw attention to the needs of representing spatial information (Karimipour and Niroo, 2013), computer system design (Shakhnov et al, 2013), business processes (Szmodics, 2015), medical decision making (Minutolo et al, 2014), knowledge acquisition (Cao et al, 2013), knowledge provenenceprovenance tracking (Mittal et al, 2018), and, of course, cognitively informed representation systems (Dhuieb et al, 2013;Savić et al, 2017).…”
Section: Knowledge Representationmentioning
confidence: 99%
“…Dhuieb et al [23] gave a comprehensive explanation to an approach regarding knowledge extraction and structuring in the factories; the paper introduced the research background and explained different constraints that need to be considered during the process of modeling. Chen [24] proposed that knowledge system is a new theoretical research field in the humanities and social sciences, the author analyzed the influence of Western knowledge and its knowledge system on China, discussed the evolution of knowledge concept in the history of thought and the anxiety consciousness of literature and art research, and proposed a strategy of value reconstruction in knowledge production and literature knowledge construction.…”
Section: Introductionmentioning
confidence: 99%
“…• Knowledge layer: The role of this layer is to introduce a new way of definition, representation, and exploration of knowledge in the factory. The main idea is to provide worker by useful knowledge according to a multilevel structure, in which each level represents the completeness degree of knowledge [4]. The workers performance will be measured before and after using the DFA in daily activities and in front of difficult tasks in order to evaluate their improvement using the DFA.…”
mentioning
confidence: 99%