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Market Blended Insight

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:
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
项目状态:
已结题
起止时间:
2006 至 --
关键词:

项目摘要

项目成果

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中文摘要
翻译
市场混合洞察项目由提供和使用企业对企业(B2B)营销信息的领先企业和语义网技术领域的世界级学术研究人员组成。该项目有一个明确的目标,即在5-7年的时间内,在英国企业对企业(B2B)营销活动中取得显着的绩效改进。英国的B2B营销经济为173亿英镑(5年内增长了47%),对英国出口的贡献接近60亿英镑。B2B活动中1%的性能改进是英国生产力的1.73亿改进。该联盟认为,可用内容的快速扩展,可以利用语义网技术的最新进展,当应用于媒体行业提供和公司利用业务数据和内容。该项目计划汇总这些商业信息,以提供英国商业活动的无与伦比的档案,并开发丰富的语义搜索和导航工具,使任何企业都能“将其销售主张放在潜在买家面前”,相信收件人有“购买倾向”。该联盟将从EPSRC的高级知识技术IRC(AKT-http://www.aktors.org)扩展世界级的“语义网”研究,并将其应用于大规模的、真实的英国公司数据源,以了解我们是否可以在一个非常大的信息池中发现一个组织的“购买倾向”。这项创新将在三个领域突破界限:我们计划创建的信息源的预期规模,基于纳入整个英国经济的370万家公司。本体的复杂性,涵盖了每个公司丰富的深度信息。最后,也是最困难的,创新需要在信息中识别语义关系和查询,以确定给定“销售提议”的“购买倾向”。我们的目标是建立一个工业规模的原型,将为英国企业用户提供动态的,相关的洞察他们的目标市场,并允许他们做出明智的决定,对潜在客户的购买倾向。该财团包括一系列领先的英国公司,ParcelForce,英国天然气,诺维奇联盟,Clydesdale和约克郡银行和3 M。它们代表了英国经济中的各种细分市场(制造业,银行业,保险业,物流业和公用事业)。工业规模演示器将由用户组进行测试,用户组将根据用户规范对其进行审查并提供反馈。联盟关系为科学基础通过工业到最终用户英国公司之间的知识转移创造了一条双向通道。出去,将流向语义网,回来,将流向业务需求的现实。该联盟认为,它拥有一个独特的跨学科团队,共同提供成功的主要要求。
英文摘要
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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/1754239.1754244
发表时间: 2010-03
期刊:
影响因子: --
作者: [Gianluca Correndo;M. Salvadores;Ian Millard;H. Glaser;N. Shadbolt]
通讯作者: 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
DOI: --
发表时间: 2009
期刊: Int. Journal of Virtual Communities and Social Networking
影响因子: --
作者: [G Correndo]
通讯作者: 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
期刊:
影响因子: --
作者: [Salvadores M]
通讯作者: 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。
DOI: --
发表时间: 2009
期刊:
影响因子: --
作者: [M Salvadores]
通讯作者: M Salvadores
SOCIAM: The Theory and Practice of Social Machines
  • 批准号:
    EP/J017728/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $339.92万
  • 财政年份:
    2015
  • 负责人:
    Nigel Shadbolt
  • 依托单位:
SOCIAM: The Theory and Practice of Social Machines
  • 批准号:
    EP/J017728/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $792.43万
  • 财政年份:
    2012
  • 负责人:
    Nigel Shadbolt
  • 依托单位:
EnAKTing the Unbounded Data Web: Challenges in Web Science
  • 批准号:
    EP/G008493/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $247.81万
  • 财政年份:
    2009
  • 负责人:
    Nigel Shadbolt
  • 依托单位:
海外基金