A sub-ontology extracted from its base ontology data contains only the concepts and
relationships pertaining to the information required by the user. Sub-ontology extraction and …

To efficiently utilize the large-scale ontology data distributed on the Semantic Grid is a
problem issue of high concern. Sub-ontology extraction that reflects the user requirements is …

Ontology databases in Semantic Grid can grow very large making it more complex and
difficult to manage. Sub-ontology extraction in compliance with the user requirements paves …

The new era of semantic Web has enabled users to extract semantically relevant data from
the Web. The backbone of the semantic Web is a shared uniform structure which defines …

Sub-ontology extraction provides a solution in dealing with large ontology. As time
progresses, new discoveries and new ontology emerges making the ontology data much …

Sub-ontology, as the name implies, is a subset of an ontology tailored for a specific domain.
Large-scale ontology data can be optimized by extracting the required sub-ontology. Sub …

Web ontologies are often too large to be used in a single application. The solution is to
extract sub-ontology from large-scale ontology. An application may require several large …

It often needs to extract sub-ontology from large-scale ontology for application. Current
approaches mainly focus on extraction in single ontology. However, an application may …

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 …

Ontologies are a basic building block for enterprise interoperability services. As of today
ontologies are created by highly specialized ontology engineers. In order to utilize the full …