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Supporting Multi-view User Ontology to Understand Company Value Chains

Supporting Multi-view User Ontology to Understand Company Value Chains
Supporting Multi-view User Ontology to Understand Company Value Chains
The objective of the Market Blended Insight (MBI) project is to develop web based techniques to improve the performance of UK Business to Business (B2B) marketing activities. The analysis of company value chains is a fundamental task within MBI because it is all important model for understanding the market place and the company interactions within it. The project has aggregated rich data profiles of 3.7 million companies that form the active UK business community. The profiles are augmented by Web extractions from heterogeneous sources to provide unparalleled business insight. Advances by the Semantic Web in knowledge representation and logic reasoning allow flexible integration of data from heterogeneous Sources, trails format ion between different representations and reasoning about their meaning. The MBI project has identified that the market insight and analysis interests of different types of users are difficult to maintain using a single domain ontology. Therefore, the project has developed a technique to undertake a plurality of analyses of value chains by deploying a distributed multi-view ontology to capture different user views over the classification of companies and their various relationships.
1742-6588
925-940
Zuo, LD
9c66cdf7-f135-48eb-a1f2-2ef781fdbbf1
Salvadores, M
e7f5a4ac-37a8-4981-82dc-985735fe3367
Imtiaz, SMH
f61b7d57-8312-4d87-bf21-f63ccc79fd03
Darlington, J
39fafe6d-3d68-4ec3-858f-0fe20ae64c76
Gibbins, N
1532d62a-cb51-46cc-a28a-8b917b60ffa5
Shadbolt, NR
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Dobree, J
9899a091-4afd-47e4-bb63-08b8329b1128
Zuo, LD
9c66cdf7-f135-48eb-a1f2-2ef781fdbbf1
Salvadores, M
e7f5a4ac-37a8-4981-82dc-985735fe3367
Imtiaz, SMH
f61b7d57-8312-4d87-bf21-f63ccc79fd03
Darlington, J
39fafe6d-3d68-4ec3-858f-0fe20ae64c76
Gibbins, N
1532d62a-cb51-46cc-a28a-8b917b60ffa5
Shadbolt, NR
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Dobree, J
9899a091-4afd-47e4-bb63-08b8329b1128

Zuo, LD, Salvadores, M, Imtiaz, SMH, Darlington, J, Gibbins, N, Shadbolt, NR and Dobree, J (2009) Supporting Multi-view User Ontology to Understand Company Value Chains. Journal of Physics: Conference Series, 5823, 925-940. (doi:10.1088/1742-6596/817/1/012022).

Record type: Article

Abstract

The objective of the Market Blended Insight (MBI) project is to develop web based techniques to improve the performance of UK Business to Business (B2B) marketing activities. The analysis of company value chains is a fundamental task within MBI because it is all important model for understanding the market place and the company interactions within it. The project has aggregated rich data profiles of 3.7 million companies that form the active UK business community. The profiles are augmented by Web extractions from heterogeneous sources to provide unparalleled business insight. Advances by the Semantic Web in knowledge representation and logic reasoning allow flexible integration of data from heterogeneous Sources, trails format ion between different representations and reasoning about their meaning. The MBI project has identified that the market insight and analysis interests of different types of users are difficult to maintain using a single domain ontology. Therefore, the project has developed a technique to undertake a plurality of analyses of value chains by deploying a distributed multi-view ontology to capture different user views over the classification of companies and their various relationships.

Full text not available from this repository.

More information

Published date: 2009
Additional Information: Imported from ISI Web of Science
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 270571
URI: https://eprints.soton.ac.uk/id/eprint/270571
ISSN: 1742-6588
PURE UUID: 2dcd8b23-b1ca-41d3-9c1b-3b449cd42af8

Catalogue record

Date deposited: 21 Apr 2010 07:46
Last modified: 05 Oct 2018 12:11

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