Semantic representation for comparison of performance measurement indicators

Vanderlei Freitas Junior, Victoria Uren, Christopher Brewster, Alexandre Leopoldo Gonçalves

Research output: Chapter in Book/Published conference outputConference publication

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 languageEnglish
Title of host publicationProceedings of the international conference on Semantic Web Business and Innovation (SWBI2015), Sierre, Switzerland, 2015
Pages35-43
Number of pages9
Publication statusPublished - Oct 2015
EventInternational conference on Semantic Web Business and Innovation - Sierre, Switzerland
Duration: 7 Oct 20159 Oct 2015

Conference

ConferenceInternational conference on Semantic Web Business and Innovation
Abbreviated titleSWBI2015
CountrySwitzerland
CitySierre
Period7/10/159/10/15

Keywords

  • performance measurement
  • comparison
  • ontology
  • imprecision
  • vagueness
  • semantic indicators

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