科学知识本体关键技术研究及其应用

发布时间：2018-03-04 02:36

本文选题：本体构建　切入点：关系数据库　出处：《河北工业大学》2014年硕士论文　论文类型：学位论文

【摘要】：本体是语义Web的核心部分，使得万维网能被计算机更容易理解。然而如今大部分数据均以关系数据库的方式存储，还没有以本体语言的形式发布，而且数据比较分散，因此在语义Web背景下如何利用现有存储在关系数据库中的数据是一个非常重要的研究方向。本体构建和本体映射则是其中关键技术之一。本文在阅读大量参考文献，掌握国内外研究动态的基础上，完成科学效应库从关系数据库到本体库的转换，并提出了本体映射规则与方法。论文主要工作如下： 1．完成科学效应本体库的构建：分析了当前CAI软件中科学效应库结构，深刻解析基于关系数据库的本体构建方法，并提出适合该数据源的方法。该方法概括：关系模式提取、信息进行分析、映射规则、构建本体、语义标注、本体进行检验和修改。 2．研究科学知识本体异构映射方法：针对科学效应转换后形成的多个异构本体库，提出了在本体映射中运用最小风险模型方法计算概念相似度方法及决策树算法，解决异构问题，实现了多个异构本题库的融合。 3．科学知识平台设计与搭建：以上两部分是对科学知识本体关键技术，提出了适合该数据源的方法，，本平台部分是设计本体构建和本体映射为基础的、向上提供服务的体系结构。提供的服务包括功能及其效应搜索、效应可视化展示、效应动态编辑、基于功能的效应浏览等功能。
[Abstract]:Ontology is the core part of the semantic Web, which makes it easier for computers to understand the World wide Web. However, most of the data are stored in relational databases and are not published in ontology language, and the data is scattered. Therefore, how to utilize the existing data stored in relational database in the context of semantic Web is a very important research direction, and ontology construction and ontology mapping is one of the key technologies. On the basis of reading a large number of references and mastering the research trends at home and abroad, this paper completes the transformation of the scientific effect database from relational database to ontology database, and puts forward the rules and methods of ontology mapping. The main work of this paper is as follows:. 1. Complete the construction of the scientific effect ontology library: the structure of the scientific effect database in the current CAI software is analyzed, the ontology construction method based on the relational database is deeply analyzed, and the method suitable for the data source is put forward. Information analysis, mapping rules, building ontology, semantic annotation, ontology verification and modification. 2. Research on heterogeneous mapping method of scientific knowledge ontology: aiming at many heterogeneous ontology databases formed after the transformation of scientific effects, a method of computing conceptual similarity and decision tree algorithm using minimum risk model method in ontology mapping is proposed. In order to solve the problem of heterogeneity, the fusion of multiple isomerism question banks is realized. 3. The design and construction of scientific knowledge platform: the above two parts are about the key technology of scientific knowledge ontology, and put forward the method suitable for the data source. The platform part is based on the design ontology construction and ontology mapping. The services provided include function and its effect search, effect visualization display, effect dynamic editing, function based effect browsing and so on.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09

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