A collaborative methodology for tacit knowledge management: Application to scientific research

Mezghani, Emna; Expósito, Ernesto; Drira, Khalil

doi:10.1016/j.future.2015.05.007

Cited by 36 publications

(25 citation statements)

References 17 publications

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“…1) Two-step methodology [11]: As its name indicates, this methodology is composed of two stages: The knowledge organization and the knowledge acquisition and reuse that allow the users collaboratively producing and consuming the knowledge. In the beginning, a Core Reference Ontology [CRO] describing the generic concepts and relations according to the formalized requirements is identified.…”

Section: B Main Approaches From Zero Descriptionmentioning

confidence: 99%

“…2) On-to-knowledge methodology [OTKM] [12]: It is a methodology based on acquired experiences of business activities. It is composed of four stages from identification, to documentation [11]. The stages are given implicitly and the activities are few detailed (general description of the steps and no precision in the choice of components) [3].…”

Section: B Main Approaches From Zero Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Mejri¹,

Hanafi²,

Ghezala³

2020

IJACSA

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Ontologies, nowadays, play a primordial role in the representation, the re-use and the sharing of knowledge of a well given domain in a consensual and explicit way more precisely in the computing field. It is in this context that we have proposed a domain ontology baptised onto-computer-project which presents the key to our research goal. This essential goal is to arrive at a final step to elaborate a knowledge based system for computer projects reusing. The aimed system is essentially based on the construction of a memory projects. This memory projects could be defined as a collection of historical and achieved projects around the sphere of computer. This sphere is so wide including many subfields beginning at the database, software engineering fields and arriving at the fields of artificial intelligence, computer vision and so on. This research work requires at first to construct a well-defined ontology in the way to structure and to unify vocabulary often shared by multi actors in the domain of computer projects. To concretize this goal, our paper will describe a construction approach for the proposed domain ontology which is mainly based on an existing methodology named "methontology". The proposed ontology construction approach, which is composed of seven steps, is the result of a comparative study between some ontology construction approaches belonging to different categories of methodology. In fact, we can distinguish four main categories of ontology development approaches: ontology construction approaches from zero, text-based construction approaches, building approaches based on the reuse of already existing ontologies, and crowd souring-based approaches. In our research work, we are interested by the approach of building ontology from zero. Indeed, the construction of the proposed ontology follows an autonomous approach which is not based on any other existing ontology or the updating of an already constructed ontology. In addition, in this paper we are interested by the problem of validating the content of domain ontology and in this context we have proposed an incremental approach for validating the proposed ontology which is composed of six steps. In this context we have studied some ontology validation approaches: those which are questionnaire based, others based on question answering. The problem here that all approaches studied are single actor approaches where a single validation actor can validate the entire ontology and this by applying the semantic and the structural validation definitively with no return. The main originality of our validation approach consists essentially of three criteria: the incremental validation, the multi-intervention, and the respecting of the "V" cycle. In fact, the passage from one validation step to another results in an update of the initial ontology and this by the intervention of three experts (project management expert, a project computer expert and a specialist in ontology engineering). Our proposal approach requires a feedback between all the validation phase...

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Section: B Main Approaches From Zero Descriptionmentioning

confidence: 99%

Section: B Main Approaches From Zero Descriptionmentioning

confidence: 99%

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Mejri¹,

Hanafi²,

Ghezala³

2020

IJACSA

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“…The way, designed by me, of knowledge acquisition from a group of experts in the form of an interface to the system of a CBR class is a new approach to collective knowledge acquisition . This direction is currently being developed owing to functioning and creation of social networks for knowledge management (Mezghani, Exposito, and Drira 2016) in different applications -research, designing products in different industries (Cha et al . 2015) .…”

Section: Contribution To Sciencementioning

confidence: 99%

Operationalization SECI Model of Knowledge Management by Enterprise Ontology

Andreasik

2019

Barometr Regionalny

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The paper contains the proposition of solving the problem of operationalization of the SECI model of knowledge creation in a new scope -i.e., in relation to knowledge about managing an SME enterprise in conditions of uncertainty. This knowledge includes the assessment of the enterprise in the potential -risk space of operational activity. This problem was solved theoretically by developing the original A-E-AE enterprise ontology and practically by constructing the SOK-P1 system, which was used in the advisory practice for SME sector enterprises in the Lubelskie and Podkarpackie Voivodships.Keywords: operationalization of the SECI model, A-E-AE enterprise ontology, CBR system, semantic knowledge management model JEL: M15, O32

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“…As a support to the concepts semantics, a table ontology extends and reuses different ontologies and helps in describing various facets of a resource (content, resource type, author, etc.). The paper titled ''A collaborative methodology for tacit knowledge management: Application to scientific research'' [11], authored by E. Mezghani, E. Exposito and K. Drira, considers tacit knowledge, namely the know-how critical to understand and reuse knowledge located in humans. The paper aims at providing a collaborative environment based on a common conceptualization of the domain to formalize the experts' knowledge and to share their outcomes.…”

Section: Details About This Issuementioning

confidence: 99%