Modular-based measuring semantic quality of ontology

Abstract

Measurement is the key element of engineering processes. To control, track and improve the quality of any object, it should be defined in quantitative ways. Ontology like other engineering products needs a method for quality assessment during its life cycle. Recently, quality assessment of ontology has been the topic of many research activities. In many works, measuring structural aspects of ontology has been considered, but semantic aspects of ontology have received less attention. In this paper, Knowledge Cartography reasoning technique is used to represent semantic aspects of ontology. To illustrate the applicability of this technique for measuring ontology, we focused on modularity as an important requirement for collaborative ontology engineering and control quality factors (such as maintenance, changeability, scalability, and reusability). So a semantic similarity metric is proposed based on Knowledge Cartography representation and then Louvain algorithm is applied to extract high cohesion and loosely coupled modules.