metric. It employs a hybrid learning approach utilizing functionalities from statistical and linguistic ontology learning …

Cohesion and coupling metrics for a modular ontology provide an insight into the efficiency of the modularization … technique employed. Most of such metrics are either syntax based or do not account for ontology hierarchy. The authors propose … cohesion and coupling metrics with continuous scale of measurement for modular ontology via deducing the degree of dependence …

to improve the representativeness of ontology metrics, and they develop new metrics that focus on ABox features of OWL 2 …

understanding text which enables processing, classifying and structuring of textual resources. For this purpose, an ontology is a … ontology in which an N-dimensional matrix is applied, called an N-dimensional matrix-based ontology. This matrix-based ontology … performed on the N-dimensional matrix-based ontology. Third, the validation of the result of the N-dimensional matrix …

application interoperability. The current research aims at building PHKB through ontology based cross linked domain integration … criteria query engine is developed by identifying all possible query patterns considering the ontology elements and multi …

, present for each photograph in social media adds semantics to the photographs. For semantic based retrieval, ontology based … ontology construction followed by a hybrid clustering approach. Compared to the existing single-pass incremental clustering …