Market Blended Insight

市场综合洞察

• 批准号: DT/E007104/1
• 负责人: Nigel Shadbolt
• 金额: $ 102.59万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=DT%2FE007104%2F1
• 关键词: Market; Blended; Insight

The Market Blended Insight project is made up of leading players in the provision and use of business to business (B2B) marketing information and world class academic researchers in the area of Semantic Web technologies. The project has a clear objective of making a significant performance improvement in UK business to business (B2B) marketing activities in the 5-7 year timeframe. The UK economy for B2B marketing is 17.3bn (it's grown 47% in 5 years) with approaching 6bn contribution to UK exports. A 1% performance improvement in B2B activity is 173M improvement in UK productivity. The consortium believes the rapid expansion in available content, can be harnessed by recent advances in Semantic Web technologies when applied to both Media industry provision and company exploitation of business data and content. The project plans to aggregate this business information to provide an unparalleled archive of UK business activity and to develop rich semantic search and navigation tools to allow any business to 'place their sales proposition in front of a prospective buyer' confident the recipient has 'a propensity to buy'. The consortium will extend world class 'Semantic Web' research from the EPSRC's Advanced Knowledge Technologies IRC (AKT- http://www.aktors.org ) and apply it to large scale, real life UK company data sources to understand if we can discover within a very large information pool an organisation's 'propensity to buy'. The innovation will push boundaries in three areas: The anticipated scale of the information source we plan to create, based on the 3.7 million companies that incorporate the entire UK economy. The complexity of the ontology, covering a rich depth of information for each company. Finally and most difficult, the innovation required to identify within the information the semantic relations and queries required to determine 'propensity to buy' given a 'sales proposition'. The objective is to build an industrial scale prototype that will provide UK business users with dynamic, relevant insight into their target markets and allows them to make informed decisions on a potential client's propensity to buy. The consortuim contains a collection of leading UK companies, ParcelForce, British Gas, Norwich Union, Clydesdale and Yorkshire Bank and 3M. They represent the variety of segments (Manufacturing, Banking, Insurance, Logistics and Utilities) within the UK economy. The industrial scale demonstrator will be be tested by the user group who will review it against the user specification and provide feedback. The consortium relationships have created a two way street for knowledge transfer between the Science base through industry to end user UK companies. Out, will flow exposure to the Semantic Web and back, will flow exposure to the realities of business needs. The consortium believes it has a unique interdisciplinary team that together provide the major requirements for success.

市场混合洞察力项目由在语义Web技术领域提供和使用业务（B2B）营销信息和世界一流的学术研究人员的领先参与者组成。该项目具有明确的目标，即在5 - 7年的时间范围内对英国业务（B2B）营销活动进行了重大绩效改善。 B2B营销的英国经济为173亿美元（在5年内增长了47％），对英国出口的贡献接近60亿。 B2B活动的绩效提高了1％，英国生产率提高了1.73亿。该财团认为，当可用内容的快速扩展可以通过应用于媒体行业提供和公司对业务数据和内容的公司开发时，可以通过语义Web技术的最新进展来利用。该项目计划汇总此业务信息，以提供无与伦比的英国业务活动档案，并开发丰富的语义搜索和导航工具，以允许任何企业“将其销售主张放在潜在的买家面前”，“自信收件人有“购买”的倾向。该财团将从EPSRC的高级知识技术IRC（akt- http://www.aktors.org）中扩展世界一流的“语义网”研究，并将其应用于大规模的，现实生活中的英国公司数据源，以了解我们是否可以在一个非常大的信息池中发现组织的“购买”。这项创新将在三个领域的界限上推动界限：我们计划创建的信息来源的预期规模，基于结合整个英国经济的370万公司。本体论的复杂性，涵盖了每个公司的丰富信息。最后，也是最困难的是，在信息中确定确定“销售主张”所需的语义关系和查询所需的创新。目的是建立一个工业规模的原型，该原型将为英国的业务用户提供对目标市场的动态，相关的见解，并允许他们就潜在客户购买倾向做出明智的决定。该联盟包含一系列领先的英国公司，即Parcelforce，British Gas，Norwich Union，Clydesdale和Yorkshire Bank以及3M。它们代表了英国经济中各种细分市场（制造，银行，保险，物流和公用事业）。用户组将对工业规模的演示器进行测试，该示例将根据用户规格进行审查并提供反馈。财团的关系创造了一条两条街，以通过行业在科学基础上转移到最终用户英国公司之间。将会流向语义网和背部，将流向业务需求的现实。该财团认为，它拥有一个独特的跨学科团队，共同提供了成功的主要要求。

项目成果

SPARQL query rewriting for implementing data integration over linked data

• DOI: 10.1145/1754239.1754244
• 发表时间: 2010-03
• 作者: Gianluca Correndo;M. Salvadores;Ian Millard;H. Glaser;N. Shadbolt

Social Support for Ontological Mediation and Data Integration

对本体中介和数据集成的社会支持

• 发表时间: 2009
• 期刊: Int. Journal of Virtual Communities and Social Networking
• 作者: G Correndo

On the Move to Meaningful Internet Systems: OTM 2009

迈向有意义的互联网系统：OTM 2009

• DOI: 10.1007/978-3-642-05151-7_27
• 发表时间: 2009
• 作者: Salvadores M

Supporting Multi-view Network Analysis to Understand Company Value Chains.

支持多视图网络分析，了解公司价值链。

• 发表时间: 2009
• 作者: M Salvadores