| Title |
Towards Knowledge Handling in Sustainable Management Domain |
| ID_Doc |
78708 |
| Authors |
Watróbski, J |
| Title |
Towards Knowledge Handling in Sustainable Management Domain |
| Year |
2019 |
| Published |
|
| DOI |
10.1016/j.procs.2019.09.330 |
| Abstract |
Recent years the term of sustainability has received increased meaning in successful management. Consequently, a lot of attention is paid for developing effective means to support this process. The concept of sustainable management is an important focal point for decision-makers in business. To advance sustainable management activities, obviously an adequate and modern approach is needed. Actual research trends confirm that knowledge management gives a way to handle domain knowledge practically and effectively. Thus, the practical application of knowledge -based mechanisms may provide a relevant instrument. This paper addresses the specific kind of problem of domain knowledge handling in sustainable management. In scientific terms, the paper presents an attempt of knowledge handling in the form of domain ontology for sustainable management. Presented case studies show the practical capabilities of proposed approach. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International. |
| Author Keywords |
sustainable management; knowledge management; ontology; knowledge engineering; sustainable decision problem |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000571151500165 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; Engineering, Manufacturing; Engineering, Electrical & Electronic; Operations Research & Management Science |
| Research Area |
Computer Science; Engineering; Operations Research & Management Science |
| PDF |
https://doi.org/10.1016/j.procs.2019.09.330
|