Semantic interoperability among applications, systems, and services are mostly based on ontology. Its increase usage in
Information Systems and knowledge sharing systems raises the importance of ontology development and maintenance. It is essential
for sharing information among independent organizations, exchange of information among heterogeneous systems. To make this
possible, we need to carefully model the domain knowledge while preserving its semantics. Ontologies are complex in nature and
often structured. Their development and maintenance incorporate research areas like: building, evolution, versioning, matching and
integration where these are fundamentally different. We uncover the gap in the current research area of ontology building, matching
and evolution. We propose a research direction based on ontology construction using knowledge extraction, matching evolution
between versions. This paper presents system architecture to manage the lifecycle of the application ontology incorporating building,
matching and evolution processes. This solution is integrated in the source ontology since its creation in order to make it possible to
evolve and to be versioned.
@artical{d622017ijcatr06021007,
Title = "Center Concepts on Distance k-Dominating Sets",
Journal ="International Journal of Computer Applications Technology and Research (IJCATR)",
Volume = "6",
Issue ="2",
Pages ="106 - 108",
Year = "2017",
Authors ="Dr. A. Anto Kinsley V. Annie Vetha Joeshi "}