SGER: Investigating Research Problems Related to Exchanging Information from Heterogenous Data Sources

SGER：调查与异构数据源信息交换相关的研究问题

• 批准号: 0506024
• 负责人: Kathleen Swigger
• 金额: --
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-15 至 2006-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0506024&HistoricalAwards=false
• 关键词: SGER; Investigating; Research; Problems; Related

This Small Grant for Exploratory Research (SGER) project will extend data integration technologies in partnership with two Texas State agencies and the City of Gainesville TX on the topic of legacy criminal justice databases.Technically the project will examine (1) architectural solutions to constructing mediated databases, and (2) new methods for automating schema matching. More specifically,the research will demonstrate the feasibility of representing the mappings between the virtual global database and the various data sources as XQuery queries. XQuery should provide efficiencies in processing the data, ability to describe the data mappings, and potential for improving standardization. The project's second task will address the schema matching problem among heterogeneous databases, investigating severalprocedures based on techniques already successfully employed in Computational Linguistics.Intellectual Merit This research is on integrated information technology related to the development of metadata and the use of automation of schema matching by means of linguistic based techniques. The work of the proposed study will be vertically integrated, with a significant amount of effort devoted to research on the principles underlying the proposed projects, development of practical technology based on the research, and demonstrations and test beds that illustrate the technology. The major goal of the proposed research will be the creation of a prototype information system for integrating legacy criminal justice information within the State of Texas. The effectiveness of the prototype will then be assessed and results of the evaluations will be used to develop generalpurpose approaches to data assimilation and schema integration.Broader Impact The proposed research will benefit the State of Texas by helping counties transmit legacy criminal justice data to the State's information system. By the end of the proposed research, the team will complete: (1) a prototype architecture and a set of specifications that support data integration of justice information; and (2) a set of tools and techniques for automated schema matching. Beyond the direct involvement of graduate students conducting research towards their theses and dissertations, the project will develop artifacts for courses in the areas of database, natural language processing, and machine learning. The research will involve undergraduate students and members of the nearby community.

这个探索性研究（SGER）项目将与德克萨斯州的两个机构和盖恩斯维尔市合作，在遗留刑事司法数据库的主题上扩展数据集成技术。从技术上讲，该项目将研究（1）构建中介数据库的架构解决方案，以及（2）自动模式匹配的新方法。更具体地说，研究将证明虚拟全局数据库和各种数据源之间的映射表示为XQuery查询的可行性。XQuery应该提供处理数据的效率、描述数据映射的能力以及改进标准化的潜力。该项目的第二个任务将解决异构数据库之间的模式匹配问题，调查several procedures的基础上已经成功地采用了技术在Computational Linguistics.Intellectual Merit本研究是关于集成的信息技术相关的元数据的发展和使用自动化模式匹配的语言为基础的技术手段。拟议研究的工作将纵向一体化，投入大量精力研究拟议项目的基本原则，在研究的基础上开发实用技术，并展示技术的演示和试验台。拟议研究的主要目标将是建立一个原型信息系统，用于整合得克萨斯州的传统刑事司法信息。原型的有效性，然后将进行评估和评估的结果将被用来开发generalpurpose的方法，以数据同化和schema integration.Broader的影响拟议的研究将有利于德克萨斯州，帮助县传统的刑事司法数据传输到国家的信息系统。在拟议的研究结束时，该小组将完成：（1）一个原型架构和一套支持司法信息数据集成的规范;（2）一套自动模式匹配的工具和技术。除了研究生直接参与他们的论文和学位论文的研究之外，该项目还将为数据库，自然语言处理和机器学习领域的课程开发工件。这项研究将涉及本科生和附近社区的成员。