Wide Area Ontology Integration Scheme for Reasoning Agents in Surveillance Networks

Abstract

In this paper an efficient and scalable surveillance network providing systematic collection and analysis of social security data based on distributed cooperative ontology framework is proposed. Upon ontology integration system, each reasoning agent can build and process ontology cooperatively. They share context ontology for cooperative combined inference. In the process of reasoning agents not only can get services from a region server but also can form and generate a P2P(peer-to-peer) overlay network to provide services to each other in wider bandwidth. Structured P2P overlay network forms useful substrate because it provides extendable, scalable, self-organizing and reliable framework. For efficient ontology integration the data weighting and similarity measure is incorporated and shows better performance.

Detecting Design Level Anti-patterns; Structure and Semantics in UML Class Diagrams

“…Ontologies are organized determinations of of concepts, properties, and relationships that are required for understanding the model. They includes customized knowledge for their specific environment of model [9]. Ontology is defined as a formal explicit specification of a shared conceptualization., where formal means that the ontology is machine readable, explicit means that the type of concepts should be defined and conceptualization refers to an abstract model for any phenomenon in the real world [10].…”