Automatically generating an ontology and axioms from a business-process model

摘要

A method and associated systems for automatically generating an ontology and a set of axioms from a business-process model that represents the operations of a business. This ontology and set of axioms may be used to create the knowledgebase of an artificially intelligent expert system that emulates the business operations. A processor parses a representation of business processes stored in the business-process model, deriving a set of axioms and a set of entity classes from the parsed data. The processor uses these axioms and classes to identify concept nodes and process nodes, which it organizes into the ontology of the knowledgebase. The processor further identifies information derived from the parsed data to create a set of triple data items, each of which represents the information represented by one or more of the derived axioms. These triples are stored in the knowledgebase as a triple store data structure.