A Semantic Matching Approach for Distributed RDF Data Query on a Knowledge Bus
During the past several years,semantic web technologies have been applied to facilitate the sharing of data in new and unexpected ways.Various heterogeneous data are assigned well-defined meaning by ontologies and expressed with RDF triples so that they are are able to be integrated and extracted across multiple sources.As the order of magnitude of triples hosted is higher and higher, and considering other essential issues (e.g.copyright,security) in application domains, a distributed RDF data management approach is more appropriate for knowledge sharing and integration.In this paper,we present a knowledge bus infrastructure -a general solution of locating and extracting knowledge elements from distributed sources on-demand rather than loading all of RDF triples into a large central triple store in advance.A semantic matching approach is discussed to support the key function of automatic knowledge source location.The knowledge bus infrastructure as well as the semantic matching approach has been adopted in the CFMS project,enabling a rapid information search and access for the engineering domain.
Tao Guan David W.Fowler Richard M.Crowder Feng(Barry)Tao Nigel R.Shadbolt Gary B.Wills
School of Electronics and Computer Science,University of Southampton Southampton,SO17 1BJ,United Kingdom
国际会议
南京
英文
1-12
2009-08-29（万方平台首次上网日期，不代表论文的发表时间）