Abstract
On the Semantic Web, query answering will require data coming from many different ontologies, and information processing is not possible without having a framework that discovers their overlaps, evolved contents, and availabilities. Semantic searching on predefined number of ontologies may give us incomplete, unclear, and even meaningless result. Hence the development of a system to exploit the relationship of semantic sharing data from various sources for searching process is crucial to the success of the Semantic Web. We propose Distributed Ontology Framework on Grid environment (DOFG) and a query analyzing method in distributed ontology environment. DOFG employs Grid computing technique to build an ontology virtual organization for managing meta-data and utilizing the computing power of many sites when processing query. Our implementation on some real-world domains shows the fitness of DOFG on large sharing semantic data mediums and the high feasibility of this framework to be a generic architecture for numerous semantic grid applications.
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Bui, N.P., Lee, S., Chung, T. (2007). Query Distributed Ontology over Grid Environment. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74484-9_13
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DOI: https://doi.org/10.1007/978-3-540-74484-9_13
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