课题基金 / 基金详情

"Environment for Smart, Customizable, and Collaborative Service Analysis and Integration"

"Environment for Smart, Customizable, and Collaborative Service Analysis and Integration"
“智能、可定制、协作的服务分析和集成环境”
批准号:
293250-2012
负责人:
Sartipi, Kamran
金额:
$1.02万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

项目摘要

项目成果

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中文摘要
翻译
该研究项目为开发和分析协作、智能和可定制的服务集成和决策系统提供模型、技术和工具。它引入了“咨询服务”作为一种新型的决策支持系统,它将语义分析技术与数据挖掘操作的探索性质结合起来,在用户期望的功能和可用的web服务之间找到有效的匹配,而不是用一长串的可能性列表压倒用户,而只是那些具有最高语义相似性的服务。此外,对于诸如医疗保健或银行等敏感应用程序领域,可能需要对候选服务的分布式结构或行为属性进行深入分析。本研究为深入服务品质评估提供两种互补的技术。它提供了基于执行模式挖掘的动态分析技术,以探索分布式web服务的结构属性。它还提供了一种基于测试用例的新技术来评估候选web服务的行为方面。本研究提出了一种基于“可定制专家代理”的服务基础架构新模型,该模型的灵感来自于真实的商业企业。这个新服务在客户端的平台上进行处理;从而增强了客户端的隐私性,减少了网络流量。可定制代理用于实现建议的咨询服务和服务评估技术的功能。在卫生和医疗环境中,基于病例和特设的协作决策越来越重要。协作团队需要智能服务来沟通和共享信息;访问患者的电子健康记录和图像;咨询和决策;诊断和治疗病人。该计划将为仿真环境提供所需的基础设施,该环境将与HL7 v3消息传递和SNOMED CT术语系统标准兼容并可互操作。这种环境还将应用一种新的基于行为的访问控制机制,以确保在通信和共享敏感信息时的数据隐私。
英文摘要
This research program provides models, techniques and tools for developing and analyzing collaborative, smart, and customizable service integration and decision making systems. It introduces "consultant services" as a new type of decision support systems that amalgamate semantic analysis techniques with the exploration nature of data mining operations to find an effective match between the user's desired features and the available web services, without overwhelming the user with long lists of possibilities, but only those with the highest semantic similarities. Furthermore, for sensitive application domains such as healthcare or banking, in-depth analysis of the distributed structural or behavioral properties of the candidate services may be necessary. This research provides two complementary techniques for in-depth service quality assessment. It provides dynamic analysis techniques based on execution pattern mining to explore the structural properties of distributed web services. It also provides a new technique based on test cases to assess the behavior aspects of candidate web services. This research proposes a new model for service infrastructure using a "customizable expert agent" which is inspired from real business enterprises. This new service is processed at the client's platform; hence it enhances the client's privacy and reduces network traffic. The customizable agent is used to implement the functionality of the proposed consultant services and service assessment techniques. The case-based and ad-hoc collaborative decision-making is increasingly important in health and medical environments. The collaborative teams require smart services to communicate and share information; access to patient's electronic health records and images; consult and make decisions; and diagnosis and treat patients. This program will provide the required infrastructure for a simulation environment, which will be compatible and interoperable with HL7 v3 messaging and SNOMED CT terminology system standards. Such an environment will also apply a new behavior-based access control mechanism to ensure data privacy in communicating and sharing sensitive information.
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Intelligent and Mined-knowledge Driven Consultant Services for User Behavior Recovery in Large Distributed Systems
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Intelligent and Mined-knowledge Driven Consultant Services for User Behavior Recovery in Large Distributed Systems
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Intelligent and Mined-knowledge Driven Consultant Services for User Behavior Recovery in Large Distributed Systems
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 依托单位:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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