Abstract
The paper proposes a novel approach to reducing the complexity of building (service-oriented) decision support systems by applying knowledge-based automated service composition. The proposed approach is based on ontological representation of service capabilities, therefore, the paper discusses how these capabilities are encoded with a help of a modular ontology, including three components: DSS functional blocks ontology, service description ontology based on OWL-S, and application domain ontology. It is also discussed how these representations are used to form complex services using forward chaining process. The paper also presents an architecture of the configurable DSS, based on service composition. The proposed approach can be used for creating DSSs in a wide range of domains, especially, where quality conceptualizations in the form of ontologies already exist.
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Acknowledgement
The reported study was funded by RFBR, project number 19-07-00928. The study was also supported by Russian State Research, project 0073-2019-0005.
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Mustafin, N., Kopylov, P., Ponomarev, A. (2021). Knowledge-Based Automated Service Composition for Decision Support Systems Configuration. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-030-90321-3_63
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