Semantic Completeness in Sub-ontology Extraction Using Distributed Methods

The use of ontologies lies at the very heart of the newly emerging era of Semantic Web. They provide a shared conceptualization of some domain that may be communicated between people and application systems. A common problem with web ontologies is that they tend to grow large in scale and complexity as a result of ever increasing information requirements. The resulting ontologies are too large to be used in their entirety by one application. Our previous work, M aterialized Ontology V iew Extractor (MOVE), has addressed this problem by proposing a distributed architecture for the extraction/optimization of a sub-ontology from a large scale base ontology. The extraction process consists of a number of independent optimization schemes that cover various aspects of the optimization process. In this paper, we extend MOVE with a Semantic Completeness Optimization Scheme (SCOS), which addresses the issue of the semantic correctness of the resulting sub-ontology. Moreover, we utilize distribu...

• Type: Conference
• Year: 2004
• Where: ICCSA
• Authors: Mehul Bhatt, Carlo Wouters, Andrew Flahive, J. Wenny Rahayu, David Taniar
• Keywords: Applied Computing, Extraction Process, ICCSA 2004, Ontologies, Optimization Scheme