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Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models

Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models

Hans-Georg Fill, Ilona Reischl
Copyright: © 2012 |Pages: 18
ISBN13: 9781609601263|ISBN10: 1609601262|EISBN13: 9781609601287
DOI: 10.4018/978-1-60960-126-3.ch010
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MLA

Fill, Hans-Georg, and Ilona Reischl. "Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models." Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications, edited by Stefan Smolnik, et al., IGI Global, 2012, pp. 195-212. https://doi.org/10.4018/978-1-60960-126-3.ch010

APA

Fill, H. & Reischl, I. (2012). Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models. In S. Smolnik, F. Teuteberg, & O. Thomas (Eds.), Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications (pp. 195-212). IGI Global. https://doi.org/10.4018/978-1-60960-126-3.ch010

Chicago

Fill, Hans-Georg, and Ilona Reischl. "Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models." In Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications, edited by Stefan Smolnik, Frank Teuteberg, and Oliver Thomas, 195-212. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-126-3.ch010

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Abstract

The use of semantic technologies in practical scenarios requires carefully balancing the tradeoff between costs and benefits in order to gain acceptance. In this chapter we report on a project conducted together with the Austrian competent authority in regard to safety in healthcare. It is described how semantic technologies can be combined with conceptual models to support management executives in the distribution of knowledge and the analysis of compliance. The approach is based on a step-wise semantic enrichment of conceptual models with formal semantic schemata in order to support human analyses. It has been implemented on the ADONIS meta modeling platform and applied to a scenario dealing with the management of applications for clinical trials.

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