Processing Dynamic Event Data and Multifaceted Knowledge in a Collaboration Federation
在协作联盟中处理动态事件数据和多方面知识
基本信息
- 批准号:0534065
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-08-01 至 2011-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
All nations are facing global problems such as border control and immigration, drug trafficking, terrorism, human disease detection and control, rapid detection of diseases and pests threatening agricultural commodities, and others. The solutions to these complex problems require organizations within a country as well as across national boundaries to effectively and efficiently share, not only heterogeneous data, but also knowledge captured in different knowledge representation schemes and application systems to support their problem-solving and decision-making in highly distributed and dynamic environments. This project will develop the infrastructure and technologies for the processing and management of 1) distributed events, 2) dynamic data associated with event occurrences, and 3) knowledge expressed by different types of rules and rule structures (multi-faceted knowledge) and application system operations invoked by rules. The context for this research is the USDA's National Plant Diagnostics Network (NPDN), a network established for rapid detection of crop disease and pest outbreaks. NPDN's goal is to enable many collaborating organizations to receive data associated with each occurrence of an event type as well as data generated by different types of rules and rule structures, and application operations triggered by the event. This will support the local decision-making, problem-solving and activity coordination of collaborating organizations.The expected results include 1) an extended rule markup language and user interface tools for defining events and capturing multi-faceted knowledge, 2) techniques for efficient and effective management and processing of distributed, heterogeneous events, event data, triggers and rules, 3) a domain ontology for plant disease diagnostics and techniques for ontology management, 4) an extended Web Service infrastructure with an ontology-enhanced and constraint-based registry for semantic discovery of triggers, rules and application operations that are uniformly modeled and published as Web Services, and 5) the deployment of the developed tools and system at several regional centers of the NPDN for application and evaluation of the R&D results.Intellectual merits: First, the extended Rule Markup Language will contribute to the effort of the RuleML community in developing a standard language for organizations to specify and share policies, regulations, processes and constraints expressed in terms of high-level declarative rules. Second, the resulting techniques, algorithms, methodologies and infrastructure will significantly advance the state of arts of information and knowledge management. Third, the proposed ontology-enhanced and constraint-based Web Service registry will significantly improve the quality of discovery and invocation of registered rules, rule structures, and application system operations. By converting heterogeneous rules and rule structures into Web Services, all that will be needed is a single rule server that invokes them as Web Services to achieve collaborative problem-solving.Broader Impacts: First, the R&D results will be applied and evaluated by a federation of collaborating organizations in the NPDN environment. The deployment of the resulting collaborative system and tools will have an immediate application to and impact on the NPDN organization because they will be timely informed of any disease or pest outbreak and receive guided assistance on appropriate emergency response resulting from the application of knowledge rules. Second, events, multifaceted knowledge specifications and application operations registered in the Web Service registry will capture collaborating organizations' policies, regulations, processes and constraints for later education and training uses.
所有国家都面临着全球性问题,如边境管制和移民、贩毒、恐怖主义、人类疾病检测和控制、快速检测威胁农产品的疾病和害虫等。要解决这些复杂问题,就需要一国之内和跨国界的组织不仅有效和高效地共享异构数据,而且还要共享在不同知识表示方案和应用系统中获取的知识,以支持它们在高度分散和动态的环境中解决问题和作出决策。本项目将开发基础设施和技术,用于处理和管理1)分布式事件,2)与事件发生相关的动态数据,3)由不同类型的规则和规则结构(多方面知识)表示的知识以及由规则调用的应用系统操作。这项研究的背景是美国农业部的国家植物诊断网络(NPDN),这是一个为快速检测作物疾病和害虫爆发而建立的网络。NPDN的目标是使许多协作组织能够接收与事件类型的每次发生相关联的数据,以及由不同类型的规则和规则结构生成的数据,以及由事件触发的应用程序操作。这将支持协作组织的本地决策、问题解决和活动协调,预期成果包括:1)用于定义事件和获取多方面知识的扩展规则标记语言和用户界面工具; 2)高效管理和处理分布式、异构事件、事件数据、触发器和规则的技术; 3)用于植物疾病诊断的领域本体和本体管理技术,4)具有本体增强和基于约束的注册表的扩展的Web服务基础设施,用于触发器、规则和应用操作的语义发现,其被统一建模和发布为Web服务,以及5)在NPDN的几个区域中心部署开发的工具和系统,以应用和评估&研发成果。首先,扩展的规则标记语言将有助于RuleML社区开发一种标准语言,供组织指定和共享政策、法规,以高级声明性规则表示的过程和约束。其次,由此产生的技术、算法、方法和基础设施将大大推进信息和知识管理的艺术水平。第三,所提出的本体增强和基于约束的Web服务注册中心将显着提高质量的发现和调用注册的规则,规则结构,和应用系统操作。通过将不同的规则和规则结构转换为Web Services,只需要一个规则服务器,将它们作为Web Services调用,就可以实现协作问题的解决。更广泛的影响:首先,在NPDN环境中,研究开发的成果将由协作组织的联盟应用和评估。由此产生的协作系统和工具的部署将立即应用于NPDN组织并对其产生影响,因为他们将及时获悉任何疾病或害虫的爆发,并在应用知识规则后获得有关适当应急响应的指导援助。其次,在Web服务注册表中注册的事件、多方面的知识规范和应用程序操作将捕获协作组织的政策、法规、流程和约束,供以后的教育和培训使用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Stanley Su其他文献
Stanley Su的其他文献
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{{ truncateString('Stanley Su', 18)}}的其他基金
CISE Next Generation: Scalable Enterprise Systems: Research on Advanced Technologies to Support Internet-based Scalable E-business Enterprises (ISEE)
CISE下一代:可扩展企业系统:支持基于互联网的可扩展电子商务企业的先进技术研究(ISEE)
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A Knowledge Base Programming Language for Evolutionary Prototyping of Software Systems
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9200756 - 财政年份:1992
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An Object Flow Computer for Object-Oriented Database Applications
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8822328 - 财政年份:1989
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8814989 - 财政年份:1988
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A Special Function Unit for Sorting and Sort-based Database Operations
用于排序和基于排序的数据库操作的特殊功能单元
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8402252 - 财政年份:1984
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Conversion of Application Programs in the Data Base Management Systems Environment
数据库管理系统环境中应用程序的转换
- 批准号:
7826761 - 财政年份:1980
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Architectural Implications For Programming an Associative Processor For Data Base Management
数据库管理关联处理器编程的架构意义
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7621029 - 财政年份:1977
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Standard Grant
Application Program Conversion Due to Data Base Changes
数据库变更导致的应用程序转换
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7610075 - 财政年份:1976
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The Architecture of Cassm - a Context Addressed Segment Sequential Memory
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7401858 - 财政年份:1974
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Attend the Workshop on Computer Descriptive Languages, Darmstadt, Germany, 07/31/08/02/74.
参加计算机描述语言研讨会,德国达姆施塔特,07/31/08/02/74。
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7422047 - 财政年份:1900
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