Ontology Development Strategies in Industrial Contexts

Abstract

Knowledge-based systems are used extensively to support functioning of enterprises. Such systems need to reflect the aligned business-IT view and create shared understanding of the domain. Ontologies are used as part of many knowledge-bases systems. The industrial context affects the process of ontology engineering in terms of business requirements and technical constraints. This paper presents a study of four industrial cases that included ontology development. The study resulted in identification of seven factors that were used to compare the industrial cases. The most influential factors were found to be reuse of ontologies/models, stakeholder groups involved, and level of applicability of ontology. Finally, four recommendation were formulated for projects intended to create shared understanding in an enterprise.

Built Environment Cybersecurity: Development and Validation of a Semantically Defined Access Management Framework on a University Case Study

“…Competency questions provide a useful means of determining how complex an ontology is owing to the fact that these questions should be answerable using knowledge that is ontology-based [20,25,26,42]. There are five categories of competency questions (security standards, built environment services, actors, built environment data format, IoT devices) that relate to the aspects of smart city access management being integrated by the model.…”