A Framework to Normalize Ontology Representation for Stable Measurement

Abstract

Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. Effective ontology measurement is the precondition on which the meaningful and useful ontology evaluation can be made. We propose a framework to normalize representation of ontologies for their stable measurement, where the semantic enriched representation model (SERM) is proposed as the unique representation for ontologies. By the normalization framework, we provide a four-step procedure to extract ontology entities and calculate measures based on SERM model. Both the theoretical analysis and the experimental results show that our framework is effective and useful to perform stable ontology measurement. It is suitable to measure more expressive ontologies. This framework enables users to perform automatic ontology measurement without much expertise knowledge about ontology programming and reasoning.

Onto Collab: Strategic review oriented collaborative knowledge modeling using ontologies

“…al., [21] have proposed a unique methodology for measuring of ontologies for normalizing them.. The disadvantage here is that the ontologies are they are being modeled are not properly governed rather they are normalized later which is again an unnecessary process of increasing the computational effort which can definitely be avoided when ontology monitoring is done as they are conceived or modeled.…”