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A Semantic Matching Approach for Distributed RDF Data Query on a Knowledge Bus

A Semantic Matching Approach for Distributed RDF Data Query on a Knowledge Bus
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.
Guan, Tao
3d93d517-929b-4594-8305-5e54796a5555
Fowler, David
a4661fcb-397e-4a6a-a288-608e1bca3333
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Tao, Feng
b7ed4e92-3192-4396-9ba5-b158ad2cc665
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Guan, Tao
3d93d517-929b-4594-8305-5e54796a5555
Fowler, David
a4661fcb-397e-4a6a-a288-608e1bca3333
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Tao, Feng
b7ed4e92-3192-4396-9ba5-b158ad2cc665
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

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 The Third Chinese Semantic Web Symposium, China. 29 - 31 Aug 2009.

Record type: Conference or Workshop Item (Other)

Abstract

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.

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More information

Published date: 29 August 2009
Additional Information: Event Dates: 29-31, Aug
Venue - Dates: The Third Chinese Semantic Web Symposium, China, 2009-08-29 - 2009-08-31
Organisations: Web & Internet Science, Agents, Interactions & Complexity, Electronic & Software Systems

Identifiers

Local EPrints ID: 267888
URI: https://eprints.soton.ac.uk/id/eprint/267888
PURE UUID: f0d6d8c9-b475-439e-9d89-48b477bca672
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 17 Sep 2009 10:28
Last modified: 06 Jun 2018 13:03

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Contributors

Author: Tao Guan
Author: David Fowler
Author: Richard Crowder
Author: Feng Tao
Author: Nigel Shadbolt
Author: Gary Wills ORCID iD

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