The semantic representation of organizations' performance measurement systems is critical in limiting problems arising from the increasing complexity of enterprises. Ontologies offer unambiguous semantics, which allows better information management and facilitates automated reasoning. In this work, a documentary analysis was done to summarize the most commonly cited performance measurement systems in the literature. The article also shows the contribution of using ontological models to support these systems and presents some examples of related work.
Performance Measurement Systems-Related Ontologies
Published 2018 in Automation, Control, and Information Technology
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- Publication year
2018
- Venue
Automation, Control, and Information Technology
- Publication date
2018-11-01
- Fields of study
Business, Computer Science
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Semantic Scholar
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