The key success of a business process is the ability to manage between processes within an enterprise and\r\nbetween enterprises. To remain competitive, enterprises must become increasingly agile and integrated across their\r\nfunctions. Activity ontology plays a critical role in this integration, enabling better designs for enterprises, analysis of\r\ntheir performance, and management of their operations. The goal of this paper is to create an activity ontology for\r\nwater production processes that has the ability to deduce answers to queries that require relatively shallow knowledge\r\nof the domain. This activity ontology will provide a sharable representation of knowledge that minimizes ambiguity and\r\nmaximizes understanding of the production activities. This kind of representation is of importance because it will be\r\nable to provide sophisticated support to automated decision making; it does not only answer queries with what are\r\nexplicitly represented in the Knowledge Base, but also answer queries to what is implied in the Knowledge Base. The\r\nproject was implemented using Prolog, a logic programming language and it was tested by posing a set of competency\r\nquestions.
Loading....