Developing a proof of concept system for mining the “deep” Web for meaningful FDI lead generation information and generating time-dependent knowledge networks that can be used to summarise and visualise desired profiles of companies. Technotomy Ltd works

开发概念验证系统，用于挖掘“深层”网络以获取有意义的 FDI 潜在客户生成信息，并生成可用于总结和可视化所需公司概况的时间相关知识网络。

• 批准号: 710394
• 金额: $ 12.74万
• 依托单位: TECHNOTOMY
• 依托单位国家: 英国
• 项目类别: GRD Proof of Concept
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=710394
• 关键词: Developing; proof; concept; system; mining

Despite recent efforts from giant corporations like Google to introduce clever ways to retrieve meaningful information from the Web, the results can only be described as single dimensional. This means that it is good at pointing searchers in the direction of where relevant information exists, but not providing a multi-dimensional view of a piece of information that puts it into context with other related data so that meaningful conclusions can be drawn. The reality is that searchers conducted by businesses continue to face dilemma and opportunity cost, because data is unstructured and often hidden in the deep Web. The proposed solution is designed to fill this yawning gap in the market and it will enable the limitations of existing search engines to be overcome, by locating, retrieving and visualising meaningful, contextualised semantic information about businesses and present that concisely and coherently as the company’s “profile”. There are numerous potential applications for the InfoClew web intelligence mining system. However, the core focus of this proposal is the Foreign Direct Investment (FDI) market environment; since the techniques used currently to identify potential foreign investors can be best described as elementary and are therefore time consuming, very expensive, and most disappointing, inaccurate. We propose a system solution that will analyse, identify and target potential foreign investors, in a way that is automatic, visual and will offer accurate, in-time and cost-effective information. The system will search the Web to identify candidate companies of a certain profile. For example, the system could identify those companies that have a significant probability of expanding their operations into a foreign location. Although this might be a specialised application area, the possibilities of applying the techniques addressed in this proposal in other business sectors are very great.

尽管像Google这样的大公司最近努力引入聪明的方法来从网络上检索有意义的信息，但结果只能被描述为一维。这意味着它擅长将搜索者指向相关信息存在的方向，但不能提供一条信息的多维视图，将其与其他相关数据放在一起，以便得出有意义的结论。现实情况是，企业进行的搜索继续面临困境和机会成本，因为数据是非结构化的，往往隐藏在深层网络中。拟议的解决方案旨在填补市场上的这一巨大空白，它将使现有搜索引擎的局限性得以克服，通过定位，检索和可视化有意义的，上下文相关的语义信息，并将其简洁连贯地呈现为公司的“简介”。InfoClew网络智能挖掘系统有许多潜在的应用。然而，本建议的核心重点是外国直接投资市场环境;因为目前用于确定潜在外国投资者的技术可以说是初级的，因此耗时，非常昂贵，最令人失望的是，不准确。我们提出了一个系统解决方案，该解决方案将以自动、可视化的方式分析、识别和瞄准潜在的外国投资者，并提供准确、及时和具有成本效益的信息。该系统将搜索网络，以确定某个简介的候选公司。例如，该系统可以识别那些有很大可能将其业务扩展到国外的公司。虽然这可能是一个专门的应用领域，但在其他商业部门应用本提案中提到的技术的可能性非常大。