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Knowledge Management Model Based on the Enterprise Ontology for the KB DSS System of Enterprise Situation Assessment in the SME Sector

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Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 787))

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Abstract

In the paper, the knowledge management model based on the original idea of the enterprise ontology is presented. This model is the basis of construction of the Knowledge Based Decision Support System (KB DSS) for evaluation of situation of enterprises in the SME sector. In the model, the SECI model of knowledge creation proposed by I. Nonaka and H. Takeuchi is applied. The model consists of a cycle of creating evaluation of situation of enterprises in the potential-risk space of activity. To design the enterprise ontology, ideas of Polish philosophers (J. Bochenski and R. Ingarden) are applied. Taxonomies of classes of the enterprise potential and risk are presented in the OWL language (the Protege editor). The KB DSS architecture is consistent with the Case Based Reasoning (CBR) methodology.

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Authors and Affiliations

  1. University of Information Technology and Management, Sucharskiego Str. 2, 35-225, Rzeszów, Poland

    Jan Andreasik

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  1. Jan Andreasik
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Correspondence to Jan Andreasik .

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Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Tareq Z. Ahram

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Andreasik, J. (2019). Knowledge Management Model Based on the Enterprise Ontology for the KB DSS System of Enterprise Situation Assessment in the SME Sector. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-94229-2_15

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