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The key success of a business process is the ability to manage between processes within an enterprise and between enterprises. To remain competitive, enterprises must become increasingly agile and integrated across their functions. Activity ontology plays a critical role in this integration, enabling better designs for enterprises, analysis of their performance, and management of their operations. The goal of this paper is to create an activity ontology for water production processes that has the ability to deduce answers to queries that require relatively shallow knowledge of the domain. This activity ontology will provide a sharable representation of knowledge that minimizes ambiguity and maximizes understanding of the production activities. This kind of representation is of importance because it will be able to provide sophisticated support to automated decision making; it does not only answer queries with what are explicitly represented in the Knowledge Base, but also answer queries to what is implied in the Knowledge Base. The project was implemented using Prolog, a logic programming language and it was tested by posing a set of competency questions. (Activity Ontology of Water Production Company, Victoria B Oyekunle)
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Last date updated on March, 2021