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Social Support for Ontological Mediation and Data Integration

Social Support for Ontological Mediation and Data Integration
Social Support for Ontological Mediation and Data Integration
Most organisations store their data in several databases with no flexible mechanism for integration and access, and with no common vocabulary in place. Maintaining local vocabularies while realising distributed access is a challenge that most organisations face regularly. For several years, the Semantic Web community has been developing algorithms for mapping data models (ontologies). Nevertheless, ontology mapping remains to be a great challenge, and humans are always expected to verify the results of existing automatic mapping tools. The spread of social web demonstrate the possibility of using collaborative techniques for reaching consensus and fostering user participation. While a number of prototypes for collaborative ontology construction are being developed, collaborative ontology mapping is not yet well investigated. In this article, the authors describe an approach that combines off-the-shelf ontology mapping tools with social software techniques to enable users to collaborate on mapping ontologies.
data integration, ontology mapping, social networks
1942-9010
19-34
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Alani, Harith
70cdbdce-1494-44c2-9dae-65d82bf7e991
Salvadores, Manuel
c1822871-bf33-41cd-bf97-0e927ff74acc
Dasgupta, Subhasish
43503242-3cef-42f8-bde7-f5d7af81b892
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Alani, Harith
70cdbdce-1494-44c2-9dae-65d82bf7e991
Salvadores, Manuel
c1822871-bf33-41cd-bf97-0e927ff74acc
Dasgupta, Subhasish
43503242-3cef-42f8-bde7-f5d7af81b892

Correndo, Gianluca, Alani, Harith and Salvadores, Manuel , Dasgupta, Subhasish (ed.) (2009) Social Support for Ontological Mediation and Data Integration. International Journal of Virtual Communities and Social Networking, 1 (3), 19-34.

Record type: Article

Abstract

Most organisations store their data in several databases with no flexible mechanism for integration and access, and with no common vocabulary in place. Maintaining local vocabularies while realising distributed access is a challenge that most organisations face regularly. For several years, the Semantic Web community has been developing algorithms for mapping data models (ontologies). Nevertheless, ontology mapping remains to be a great challenge, and humans are always expected to verify the results of existing automatic mapping tools. The spread of social web demonstrate the possibility of using collaborative techniques for reaching consensus and fostering user participation. While a number of prototypes for collaborative ontology construction are being developed, collaborative ontology mapping is not yet well investigated. In this article, the authors describe an approach that combines off-the-shelf ontology mapping tools with social software techniques to enable users to collaborate on mapping ontologies.

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More information

Published date: March 2009
Keywords: data integration, ontology mapping, social networks
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267354
URI: http://eprints.soton.ac.uk/id/eprint/267354
ISSN: 1942-9010
PURE UUID: 25ee8820-4eb4-45ca-8cff-e6472d1e9f71
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 17 Jul 2009 13:18
Last modified: 10 Dec 2021 22:30

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Contributors

Author: Gianluca Correndo ORCID iD
Author: Harith Alani
Author: Manuel Salvadores
Editor: Subhasish Dasgupta

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