面向Web的数据服务描述与集成关键技术研究

发布时间：2018-04-22 01:40

本文选题：数据服务 + 数据服务集成　；参考：《西安邮电大学》2016年硕士论文

【摘要】：随着“互联网+”理念的涌现,加速了互联网等相关行业的发展,也带动了传统的行业和更多的企业以及个人加入到互联网中来,从而在互联网中产生了大量的信息。为了企业或用户更好的获取互联网中的信息来为自己服务,越来越多的企业或个人通过服务的形式发布自己的数据,用户和业务系统通过统一的方式访问所需的数据,这种方式被称为数据服务。由于,企业或个人存在的领域不同,数据的形式各异,在服务的发布过程中,使用的数据标准和规范也不尽相同,从而导致在数据服务的描述上出现语义异构性。为了解决数据服务描述语义的异构性,需要对发布到Web上的数据服务进行统一描述,使得数据服务之间能够更方便的协同工作,更加准确、智能的选择最佳的数据服务。本文主要对数据服务的语义标注、数据服务的统一描述和集成等几个关键方面进行研究,探索一个解决Web上异构数据服务标准各异、语义差异等问题的方法。在对Web上数据服务的描述文档进行研究分析的基础之上,主要对以下几个方面进行了研究：(1)数据服务描述文档的预处理。数据服务描述文档描述了该数据服务的基本信息,为了更好的了解其基本信息,对该文档进行解析,获取能够表示该数据服务信息的特征词,对特征词进行建模与分析,构建领域本体库,提出基于领域本体的数据服务分类方法,对数据服务进行分类。(2)数据服务统一描述语言模型UDL4DS(Unified Description Language for Data Services)的设计。针对数据服务发布者存在于各行各业或不同领域中,导致在数据服务描述上存在语义异构性,本文提出一种基于领域本体的数据服务语义标注方法,对数据服务进行语义标注；再利用设计的UDL4DS语言模型对其进行统一的描述,解决数据服务之间的异构性,形成一个统一的标准,使得数据服务之能间够更方便的协同合作。(3)面向Web的数据服务集成系统的设计与实现。根据对数据服务描述文档的预处理和设计的统一描述语言模型,结合数据服务描述文档与本描述语言的映射关系,实现该数据服务的本描述语言的描述,对数据服务进行集成。
[Abstract]:With the emergence of the concept of "Internet", it accelerates the development of related industries such as the Internet, and also brings along the traditional industries and more enterprises and individuals to join in the Internet, thus producing a large amount of information in the Internet. In order for enterprises or users to obtain better information in the Internet to serve themselves, more and more enterprises or individuals through the form of services to publish their own data, users and business systems through a unified way to access the required data. This approach is called a data service. Because of the different fields and different forms of data in enterprises or individuals, the standards and specifications of data used in the process of publishing services are different, which leads to semantic heterogeneity in the description of data services. In order to solve the heterogeneity of data service description semantics, it is necessary to describe the data services published on Web in a unified way, so that the data services can work together more conveniently, more accurately and intelligently choose the best data services. In this paper, the key aspects of semantic annotation of data services, unified description and integration of data services are studied, and a method to solve the problems of heterogeneous data service standards and semantic differences on Web is explored. On the basis of researching and analyzing the description document of data service on Web, the preprocessing of data service description document is studied in the following aspects. The data service description document describes the basic information of the data service. In order to better understand the basic information of the data service, the document is parsed, the feature words that can represent the data service information are obtained, and the feature words are modeled and analyzed. The domain ontology library is constructed, and the classification method of data service based on domain ontology is proposed. The design of UDL4DS(Unified Description Language for Data Services, a unified description language model of data service, is proposed. In view of the semantic heterogeneity of data service description due to the existence of data service publishers in various industries or different fields, this paper proposes a semantic annotation method for data services based on domain ontology, which annotates data services semantically. Then using the designed UDL4DS language model to describe it in a unified way to solve the heterogeneity between data services and form a unified standard. The design and implementation of Web oriented data service integration system make it more convenient to cooperate among data services. According to the unified description language model for preprocessing and designing the data service description document and the mapping relationship between the data service description document and the description language, the description of this description language of the data service is realized, and the data service is integrated.
【学位授予单位】：西安邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP393.09

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