Abstract
Indicators are widely used by organizations as a way of evaluating, measuring and classifying organizational performance. As part of performance evaluation systems, indicators are often shared or compared across internal sectors or with other organizations. However, indicators can be vague and imprecise, and also can lack semantics, making comparisons with other indicators difficult. Thus, this paper presents a knowledge model based on an ontology that may be used to represent indicators semantically and generically, dealing with the imprecision and vagueness, and thus facilitating better comparison. Semantic technologies are shown to be suitable for this solution, so that it could be able to represent complex data involved in indicators comparison.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the international conference on Semantic Web Business and Innovation (SWBI2015), Sierre, Switzerland, 2015 |
| Pages | 35-43 |
| Number of pages | 9 |
| Publication status | Published - Oct 2015 |
| Event | International conference on Semantic Web Business and Innovation - Sierre, Switzerland Duration: 7 Oct 2015 → 9 Oct 2015 |
Conference
| Conference | International conference on Semantic Web Business and Innovation |
|---|---|
| Abbreviated title | SWBI2015 |
| Country/Territory | Switzerland |
| City | Sierre |
| Period | 7/10/15 → 9/10/15 |
Keywords
- performance measurement
- comparison
- ontology
- imprecision
- vagueness
- semantic indicators