Software Agent Oriented Information Integration System in Semantic Web

摘要

Developing an information-sharing capability across distributed heterogeneous data sources remains a significant challenge. Ontology based approach to this problem show promise by resolving heterogeneity, if the participating data owners agree to use a common ontology (i.e., a set of common attributes). Such common ontology offers the capability to work with distributed data as if it were located in a central repository. This information sharing may be achieved by determining the intersection of similar concepts from across various heterogeneous systems. However, if information is sought from a subset of the participating data sources, there may be concepts common to the subset that are not included in the full common ontology, and therefore are unavailable for information sharing. One way to solve this problem is to construct a series of ontology, one for each possible combination of data sources. In this way, no concepts are lost, but the number of possible subsets is prohibitively large. This paper describes a software agent oriented information integration system that demonstrates a flexible and dynamic approach for the fusion of data across combinations of participating heterogeneous data sources to maximize information sharing. The software agent generates the largest intersection of shared data across any selected subset of data sources. This ontology-based agent approach maximizes information sharing by dynamically generating common ontology over the data sources of interest. Our country, Myanmar, have seven states. Each state has one agricultural research center.