III: Medium: Better Information Integration through Uncertainty

III：媒介：通过不确定性更好地整合信息

• 批准号: 0904497
• 负责人: Jennifer Widom
• 金额: $ 118.48万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0904497&HistoricalAwards=false
• 关键词: III; Medium; Better; Information; Integration

This award is funded under the American Recovery and Reinvestment Act of 2009(Public Law 111-5).The problem of providing seamless, integrated querying over multipleinterrelated sources of information has been plaguing the database,information management, information retrieval, and artificialintelligence research communities for decades. There have beensuccessful lines of research addressing specific components of thedata integration problem, and large "one-off" systems have been builtthat successfully integrate specific information sources in specificdomains. However, a completely general solution to the dataintegration problem is thought not to be realizable.The investigator is developing a new type of information integrationsystem that is both novel and realizable. It is based on the followingpremises and components.1) The system provides a general data integration solution targetedfor a certain type of environment: when multiple sources have joining,overlapping, and potentially conflicting information about the same orclosely related real-world entities.2) The system permits and exploits uncertainty as an integral part ofdata integration: Uncertainty may be present in source data, sourceschemata, the integration process, integrated schemata, and integrateddata. In fact, uncertainty can play a key role successful informationintegration.3) The system relies on general-purpose entity-resolution as afundamental building block of the integration process and theintegrated information. Furthermore, the system retains both theuncertainty and the lineage associated with the entity-resolutionprocess.4) The system incorporates powerful lineage capabilities, trackingwhere, when, and how data was produced, how it has evolved over time,and how it has been combined and manipulated as part of theintegration process. Lineage is used to enhance the integrationprocess, and it is offered to the end-user in a variety of forms fordata understanding and conflict-resolution purposes.Further information on the project can be found at the project webpage: http://infolab.stanford.edu/udi/

该奖项是根据2009年的《美国回收与再投资法》（公法111-5）资助的。几十年来，提供​​了无缝的，对多重间隔相关信息来源的无缝，集成查询的问题一直困扰着数据库，信息管理，信息检索和人造智能研究社区已有数十年了。有很多研究的研究线，以解决Thedata集成问题的特定组成部分，并且已经构建了大型“一次性”系统，成功地将特定信息源整合在特定界。但是，人们认为对数据结构问题的完全通用的解决方案被认为是不可实现的。研究人员正在开发一种新型的信息集成系统，既新颖又可实现。 1）系统提供针对某种类型环境的一般数据集成解决方案：当多个源具有连接，重叠和潜在的有关相关现实世界实体的相互冲突的信息时架构和集成达达。实际上，不确定性可以发挥关键作用成功信息整合。3）该系统依赖于通用实体分辨率作为集成过程和整合信息的额外构建块。此外，该系统还保留了与实体解决方案相关的未确定性和谱系。4）系统结合了功能强大的谱系功能，跟踪，何时以及如何产生数据，如何随着时间的推移以及如何将其组合和操纵为整合过程的一部分。谱系用于增强集成程序，并以各种形式提供给最终用户的福特塔（Fordata）理解和冲突解决目的。可以在项目网页上找到有关项目的信息：http：//infolab.stanford.edu/udi/udi/udi/udi/udi/du/-