Ontology-driven decision support in dynamic supply-chains

Andrew Nelson; Dickens Nyabuti; John Collins; Wolf Ketter; Maria Gini

doi:10.1109/CEC.2009.79

Ontology-driven decision support in dynamic supply-chains

Andrew Nelson, Dickens Nyabuti, John Collins, Wolf Ketter, Maria Gini

Department of Technology and Operations Management

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

Abstract

We describe an approach to building a highly configurable, semi-autonomous agent that can support users playing a variety of roles in a supply-chain trading environment. The agent's decision processes are composed of networks of simple services that are described using an OWL ontology. The ontology describes both the abstract data structures that are produced and consumed by individual services, as well as the business meaning of these data elements. This approach supports goal-directed composition of services in order to generate performance dashboards, as well as direct injection of user input at arbitrary points in the network.

Original language	Undefined/Unknown
Title of host publication	Proceedings of the 11th IEEE Conference on Enterprise Computing (CEC-09)
Place of Publication	Vienna, Austria
DOIs	https://doi.org/10.1109/CEC.2009.79
Publication status	Published - 2009

Bibliographical note

Nelson09CEC

Access to Document

10.1109/CEC.2009.79

Cite this

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