基于语义的医疗Web服务发现研究

发布时间：2018-04-09 03:08

本文选题：语义web服务发现　切入点：服务发布平台　出处：《电子科技大学》2013年硕士论文

【摘要】：web服务是可以通过Internet访问的模块化应用技术，它是解决业务过程执行和应用集成的一种有效手段。在医疗领域，web服务技术在异构信息系统集成、远程医疗、移动医疗等方面被广泛使用，发挥着重要作用。随着可用的web服务越来越多，对服务的有效发现就显得越发重要。传统的做法是将web服务注册到发布中心（UDDI），用户再通过关键词手动查询、挑选所需的服务。这种基于语法层次的匹配，由于缺少语义的支持导致服务发现的覆盖率和准确率都很低。语义网（Semantic web）技术的引入为解决此类问题提供了契机。它通过在传统的web服务基础上添加语义支持，并引入本体作为知识推理基础，从语义层面出发探讨解决现有的web服务发现及应用所存在的问题。本文正是针对上述问题，使用语义web服务的相关技术，研究和改进服务的发布方式、服务的匹配算法以及服务发现的综合框架，来提高服务发现的查全率和准确率。具体来说，本文主要做了以下几个方面的工作： 1.研究分析了当前的语义web服务描述方式和传统服务发布方式，在保留传统功能的基础上，设计了基于语义的服务发布平台。添加本体的支持，并通过索引库、分类库等对关键数据的建模，有效地提高了服务检索的效率。 2.设计了完整的服务匹配过程并改进了每个步骤的关键算法，包括：在分类匹配方面，引入了国际流行的NAICS分类标准进行模糊匹配，保留了同其他系统交互的可扩展性。在语义推理方面，定义了更加合理的推理规则，兼顾了匹配效率和查全率。在核心的功能接口匹配方面，改进基于语义距离的概念相似度算法，并引入权值参数来表示用户的特异性需求，更好的匹配出满足用户需求的服务。 3.综合服务发布平台和匹配算法，设计了一个完整的服务发现框架，并构建了一定数量的用例来对此框架进行测试。最后以一个医院的日常医疗事务和急诊、转诊服务为需求，建立一个医疗应用的仿真用例，，为医疗服务的有效发现提供了一个可行方案。
[Abstract]:Web service is a modularized application technology that can be accessed through Internet. It is an effective method to solve the problem of business process execution and application integration.In medical field, web services technology is widely used in heterogeneous information system integration, telemedicine, mobile medicine and so on, and plays an important role.As more and more web services are available, effective discovery of services becomes more and more important.The traditional method is to register the web service with the distribution center, and then the user will manually query the key words to select the required service.Because of the lack of semantic support, the coverage and accuracy of service discovery are very low.The introduction of semantic Web provides an opportunity to solve these problems.By adding semantic support to traditional web services and introducing ontology as the basis of knowledge reasoning, it discusses how to solve the problems existing in the discovery and application of web services from the semantic level.In order to improve the recall and accuracy of service discovery, this paper studies and improves the service publishing method, the matching algorithm and the comprehensive framework of service discovery by using the related technology of semantic web services.Specifically, this paper mainly does the following work:1.This paper studies and analyzes the current semantic web service description and traditional service publishing methods, and designs a semantic based service publishing platform on the basis of retaining the traditional function.The efficiency of service retrieval is improved by adding the support of ontology and modeling key data through index database and classification database.2.A complete service matching process is designed and the key algorithm of each step is improved. In the aspect of classification and matching, the international popular NAICS classification standard is introduced for fuzzy matching, which retains the scalability of interaction with other systems.In the aspect of semantic reasoning, more reasonable reasoning rules are defined, and matching efficiency and recall rate are taken into account.In the core functional interface matching, the concept similarity algorithm based on semantic distance is improved, and the weight parameter is introduced to represent the specific needs of the user, so as to better match the services that meet the needs of users.3.Based on the service publishing platform and matching algorithm, a complete service discovery framework is designed, and a certain number of use cases are constructed to test the framework.Finally, taking the daily medical affairs and emergency and referral services of a hospital as the requirement, a simulation use case of medical application is established, which provides a feasible scheme for the effective discovery of medical services.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：R319;TP393.09

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