A Semantic Matching Approach for Distributed RDF Data Query on a Knowledge Bus
Guan, Tao, Fowler, David, Crowder, Richard, Tao, Feng, Shadbolt, Nigel and Wills, Gary (2009) A Semantic Matching Approach for Distributed RDF Data Query on a Knowledge Bus. At The Third Chinese Semantic Web Symposium, Nanjing, China, 29 - 31 Aug 2009.
- Version of Record
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.
|Item Type:||Conference or Workshop Item (Speech)|
|Additional Information:||Event Dates: 29-31, Aug|
|Divisions :||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
|Accepted Date and Publication Date:||
|Date Deposited:||17 Sep 2009 10:28|
|Last Modified:||31 Mar 2016 14:15|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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