"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: University of Ontario Institute of Technology
• 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
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=507913
• 关键词: Environment; Smart; Customizable; Collaborative; Service

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.

该研究计划提供了用于开发和分析协作，智能和可定制的服务集成和决策系统的模型，技术和工具。它介绍了“顾问服务”作为一种新型的决策支持系统，合并语义分析技术与数据挖掘操作的探索性质，以找到用户所需的功能和可用的网络服务之间的有效匹配，而不是压倒用户的可能性长列表，但只有那些具有最高的语义相似性。此外，对于敏感的应用领域，如医疗保健或银行，深入分析候选服务的分布式结构或行为属性可能是必要的。这项研究提供了两个互补的技术，深入的服务质量评估。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服务的结构特性。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。本研究从真实的商业企业中得到启发，提出了一种使用“可定制的专家代理”的服务基础设施新模型。这种新服务在客户端平台上处理，因此它增强了客户端的隐私并减少了网络流量。可定制的代理用于实现建议的咨询服务和服务评估技术的功能。基于案例的和特别的协作决策在健康和医疗环境中越来越重要。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;以及诊断和治疗患者。该计划将为仿真环境提供所需的基础设施，该环境将与HL 7 v3消息传递和SNOMED CT术语系统标准兼容并可互操作。这种环境还将采用新的基于行为的访问控制机制，以确保在交流和共享敏感信息时的数据隐私。