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Supporting Multi-view Network Analysis to Understand Company Value Chains

Record type: Conference or Workshop Item (Paper)

The analysis of company value chains is a fundamental task within the MBI (Market Blended Insight) project whose objective is to develop web based techniques to improve performance of UK Business to Business (B2B) marketing activity. Value chains are an important model for understanding the market place and the company interactions within it. This is enhanced by Semantic Web advances in knowledge representation and logic reasoning that allows the flexible integration of data from heterogeneous sources, transformation between different representations and reasoning about its meaning. The project has aggregated data profiles of 3.7 million UK companies which are augmented by Web extractions from heterogeneous sources to provide unparalleled business insight. The project has identified that market insight desires and analysis interests of different types of users are difficult to maintain using 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 classification of companies and their relationships.

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Citation

Zuo, Landong, Salvadores, Manuel, Imtiaz, Hazzaz, Darlington, John, Gibbins, Nicholas, Shadbolt, Nigel and Dobree, James (2009) Supporting Multi-view Network Analysis to Understand Company Value Chains At ISWC 2009.

More information

Submitted date: 25 October 2009
Venue - Dates: ISWC 2009, 0000-02-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267769
URI: http://eprints.soton.ac.uk/id/eprint/267769
PURE UUID: 0ac1313b-e4da-46ab-b643-ba40c9056153
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956

Catalogue record

Date deposited: 10 Aug 2009 17:48
Last modified: 18 Jul 2017 07:00

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Contributors

Author: Landong Zuo
Author: Manuel Salvadores
Author: Hazzaz Imtiaz
Author: John Darlington
Author: Nicholas Gibbins ORCID iD
Author: Nigel Shadbolt
Author: James Dobree

University divisions


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