An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method

Ersel, Derya; Atilgan, Yasemin

doi:10.1080/02664763.2021.1971631

Journal of Applied Statistics

2021

DOI: 10.1080/02664763.2021.1971631

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An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method

Derya Ersel

Yasemin Atilgan

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2023

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Theoretical Framework of Knowledge Representation for Information Sharing

Bagatto

2023

JCNS

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Since information from enterprises should be shared and exchanged in order to be understood and recognized, whereby unambiguous and transparent data is considered a vital requirement, information sharing has become crucial to the correct use of information assets. Sharing information may be seen as the most significant component of a company. Sharing or integrating information is used to bring together seemingly unrelated bodies of knowledge in an effort to enhance creativity. Development and training programs, reports, Information Technology (IT) platforms, official papers, and collaborative teams are all instances of information integration. It is possible to boost product and service quality, customer service responsiveness, innovation, and environmental sustainability via pervasive information integration. In this article, we take a look back at the revolutionary idea underpinning internal communication networks for Knowledge Management (KM), and Knowledge Representation (KR).

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Theoretical Framework of Knowledge Representation for Information Sharing

Bagatto

2023

JCNS

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An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method

Cited by 1 publication

References 36 publications

Theoretical Framework of Knowledge Representation for Information Sharing

Theoretical Framework of Knowledge Representation for Information Sharing

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