| Title |
Semantically-Driven Knowledge Modelling for the Business Ecosystem |
| ID_Doc |
78651 |
| Authors |
El Abed, W; Madinier, H; Cardey, S; Bregnard, T; Atanassova, I |
| Title |
Semantically-Driven Knowledge Modelling for the Business Ecosystem |
| Year |
2022 |
| Published |
|
| DOI |
|
| Abstract |
The digital world and its complex interactions create new challenges for the Digital Enterprise. The knowledge required for human activity in the value creation is fragmented and dispersed across systems which in their turn are not normalized, siloed and inconsistent. The disconnection of the knowledge and business context render the results obsolete, due to the high pace of changes in our societies and behaviours. In this paper we present a general framework to enable knowledge modelling that relies on the semantics of natural language in order to ensure sustainable data governance for the entire business ecosystem. Our proposal based on the Data Excellence Science is to provide a new vision, method and mechanics for knowledge modelling that enables semantic driven communication between humans and machines. |
| Author Keywords |
Semantic Meta Model; Business Ecosystem; Knowledge Modelling; Controlled language verbatim; Human-machine interaction |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:001071382200019 |
| WoS Category |
Economics; Management; Social Sciences, Interdisciplinary |
| Research Area |
Business & Economics; Social Sciences - Other Topics |
| PDF |
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