String-based and Unification-based Methodology for Text mining and Processing

基于字符串和统一的文本挖掘和处理方法

• 批准号: 262059-2013
• 负责人: Keselj, Vlado
• 金额: $ 1.46万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=525478
• 关键词: String; based; Unification; Methodology; Text

The economic and social impact of information technology in the current time is probably most direct and significant in the area of the so-called social media and Internet in a wider sense. The ratio of people contributing accessible content to the Web has gone from a minor fraction to a large portion, likely a majority. It has been established that this flood of "big data" on one side can increase our knowledge and efficiency, leading to a greater social benefit, but on another side we are frequently lost and drowning in irrelevant information while missing relevant information. The proliferation of mobile technology, which is available anywhere but also limited in screen size, user input rate and processing power, has only put more demands on more precise information retrieval, querying, and channelling relevant information.

当前，信息技术的经济和社会影响可能在所谓的社会媒体和更广泛意义上的互联网领域最为直接和重要。 向网络贡献可访问内容的人的比例已经从一小部分上升到很大一部分，可能是大多数。 人们已经认识到，这种“大数据”的洪流一方面可以增加我们的知识和效率，从而带来更大的社会效益，但另一方面，我们经常迷失方向，淹没在无关的信息中，而错过了相关的信息。移动的技术在任何地方都可以使用，但在屏幕尺寸、用户输入速度和处理能力方面也有限制，这种技术的扩散只会对更精确的信息检索、查询和引导相关信息提出更高的要求。