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On semantic annotation of decision models

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Abstract

The growth of service sector in recent years has led to renewed research interests in the design and management of service systems. Decision support systems (DSS) play an important role in supporting this endeavor, through management of organizational resources such as models and data, thus forming the “back stage” of service systems. In this article, we identify the requirements for semantically annotating decision models and propose a model representation scheme, termed Semantically Annotated Structure Modeling Markup Language (SA-SMML) that extends Structure Modeling Markup Language (SMML) by incorporating mechanisms for linking semantic models such as ontologies that represent problem domain knowledge concepts. This model representation format is also amenable to a scalable Service-Oriented Architecture (SOA) for managing models in distributed environments. The proposed model representation technique leverages recent advances in the areas of semantic web, and semantic web services. Along with design considerations, we demonstrate the utility of this representation format with an illustrative usage scenarios with a particular emphasis on model discovery and composition in a distributed environment.

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Notes

  1. The term “semantic models” is used to denote domain knowledge models such as ontologies, while the term “decision models” or simply “models” is used to refer to mathematical models representing decision problem formulations.

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  1. College of Business and Information Systems, Dakota State University, 820 N. Washington Ave., East Hall 7, Madison, SD, 57042, USA

    Amit V. Deokar & Omar F. El-Gayar

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  1. Amit V. Deokar
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  2. Omar F. El-Gayar
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Correspondence to Amit V. Deokar.

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Deokar, A.V., El-Gayar, O.F. On semantic annotation of decision models. Inf Syst E-Bus Manage 11, 93–117 (2013). https://doi.org/10.1007/s10257-011-0184-2

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