Supporting Multi-view Network Analysis to Understand Company Value Chains
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. In, ISWC 2009 (Submitted).
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||10 Aug 2009 17:48|
|Last Modified:||02 Mar 2012 13:00|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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