Scalable Enterprise Systems Phase II:Exploratory Research on Flexible Production Networks: SEEK - Scalable Extraction of Enterprise Knowledge

摘要建议：CMS-0122193 PI：Joachim Hammer机构：佛罗里达大学日期：2001年7月21日摘要CMS-0122193-“柔性生产网络第二阶段：SEEK -企业知识的可扩展提取“这项赠款提供资金，以支持新理论和技术的发展，将各种遗留系统与企业决策支持工具快速互连，以便在这些遗留系统中提取数据和知识。这种能力对于允许快速配置支持扩展的企业协作的计算系统是至关重要的。应用领域是柔性生产网络。柔性生产网络（FPN）由在面向项目的定制生产环境中运营的公司组成。大多数建筑业（约占国民生产总值的8%）和制造业的增长部分都是以这种形式经营的。FPN的特点是快速组装和拆卸的业务网络的基础上项目的需要，FPN是特别适合用户的建议research.We称我们的技术SEEK -可扩展的企业知识提取。知识提取是困难的，因为驻留在公司的数据不直接映射到决策支持系统所需的输入。现有的方法不支持SEEK的基本功能：（1）快速连接到遗留数据和应用程序，几乎没有编程设置;（2）将源知识与源本身不可用的决策支持工具联系起来。我们的新方法来提供这些功能是使用编码的领域知识的类型的信息，将被存储在应用程序中，使半自动连接到这些应用程序。我们的方法是独立于应用程序的，支持从结构化和非结构化数据源中提取遗留数据。这种方法本质上比构建特定于应用程序的工具更具可伸缩性和健壮性。我们的研究的成功结论将显着提高速度，并减少必要的人力投入，以实例化一个扩展的企业计算平台与异构源的量。

ABSTRACTProposal: CMS-0122193PI: Joachim Hammer Institution: University of FloridaDate: July 21, 2001ABSTRACT CMS0122193 - "Flexible Production Networks Phase II: SEEK - Scalable Extraction of Enterprise Knowledge"This grant provides funding to support development of new theory and technologies to allow the seamless, rapid interconnection of diverse legacy systems with enterprise decision support tools to allow extraction of data and knowledge across those legacy systems. Such a capability is critically important to allow rapid configuration of computing systems that support extended enterprise collaboration. The application domain is the flexible production network. Flexible production networks (FPNs) consist of firms that operate in a project oriented, customized production environment. Most construction (totaling approximately 8% of GNP) and growing parts of manufacturing industry operate in this form. Characterized by rapid assembly and disassembly of business networks based on project needs, FPNs are particularly well-suited users for the proposed research.We call our technology SEEK - Scalable Extraction of Enterprise Knowledge. Knowledge extraction is difficult because data resident in the firm does not map directly to the input needed by a decision support system. Existing approaches do not support SEEK's fundamental capabilities: (1) rapid connection to legacy data and applications with little programmatic setup; and (2) linking source knowledge with decision support tools not natively available to the source. Our novel approach to provide these capabilities is to use encoded domain knowledge about the types of information that would be stored in applications to enable semiautomatic connection to those applications. Our approach is application independent, supporting extraction of legacy data from both structured and unstructured sources. This approach is inherently more scalable and robust than building application specific tools. Successful conclusion of our research will significantly increase the speed and reduce the amount of human input necessary to instantiate an extended enterprise computing platform with heterogeneous sources.