<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The paper proposes the use of semantic modeling to describe the organizational knowledge resources. Key concepts related to semantic representation of knowledge in the form of ontology were also presented. The study indicated opportunities for creating new business models based on the organizational knowledge resources formalized in ontologies (ontology providers, organizations that certify knowledge available in the form of ontologies and clients using paid knowledge resources in ontology in order to automate certain areas of their activity. The investigations were presented in light of safety mechanisms whose implementation is necessary when using a semantic approach in describing the organizational knowledge resources and creating new business models based on this approach, including mechanisms for protecting information and knowledge from unauthorized access, certificates that describe the level of trust and the design of a secure user interface. The focus was also on the fact that the formalization of organizational knowledge resources and its representation in an electronic form (ontologies) poses a major challenge for knowledge engineers and leads to the necessity to cooperate in research on the borderline of management and IT sciences.</p>
</abstract>

The paper proposes the use of semantic modeling to describe the organizational knowledge resources. Key concepts related to semantic representation of knowledge in the form of ontology were also presented. The study indicated opportunities for creating new business models based on the organizational knowledge resources formalized in ontologies (ontology providers, organizations that certify knowledge available in the form of ontologies and clients using paid knowledge resources in ontology in order to automate certain areas of their activity. The investigations were presented in light of safety mechanisms whose implementation is necessary when using a semantic approach in describing the organizational knowledge resources and creating new business models based on this approach, including mechanisms for protecting information and knowledge from unauthorized access, certificates that describe the level of trust and the design of a secure user interface. The focus was also on the fact that the formalization of organizational knowledge resources and its representation in an electronic form (ontologies) poses a major challenge for knowledge engineers and leads to the necessity to cooperate in research on the borderline of management and IT sciences.

Semantic Description of the Organizational Knowledge Resources - Selected Aspects of Security

Ural State University of Railway Transport

System Safety: Human - Technical Facility - Environment

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The paper proposes the use of semantic modeling to describe the organizational knowledge resources. Key concepts related to semantic representation of...

Semantic Description of the Organizational Knowledge Resources - Selected Aspects of Security

Pubblicato online: 28 mar 2019

Pagine: 956 - 961

Ricevuto: 28 nov 2018

Accettato: 15 gen 2019

DOI: https://doi.org/10.2478/czoto-2019-0121

Parole chiave
organizational knowledge resources, semantic modeling, ontology, safety

© 2019 Rafał Niedbał et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Semantic Description of the Organizational Knowledge Resources - Selected Aspects of Security

Pubblicato online: 28 mar 2019

Pagine: 956 - 961

Ricevuto: 28 nov 2018

Accettato: 15 gen 2019

DOI: https://doi.org/10.2478/czoto-2019-0121

Parole chiaveorganizational knowledge resources, semantic modeling, ontology, safety

© 2019 Rafał Niedbał et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
organizational knowledge resources, semantic modeling, ontology, safety