2107.基于粗糙形式概念分析的海洋本体构建及集成毕业论文最终版1.doc

学位论文 学位论文题 目：基于粗糙形式概念分析的海洋本体构建及集成英文题目：Using Rough Formal Concept Analysis for Automatic Ocean Ontology Building and Integration专 业：研究方向：姓 名：指导教师： 摘 要本体是共享概念模型的明确的形式化规范说明，通过描述概念及概念之间关系来描述概念的语义。其作用是获取、描述和表达相关领域的知识，提供对该领域知识的共同理解，确定该领域内共同认可的词汇，并从不同层次的形式化模式上给出这些词汇和词汇间相互关系的明确定义。作为一种有效表现概念层次结构和语义的模型，本体被广泛运用到计算机科学的众多领域。随着本体应用的深入，本体发展也面临着一些现实的问题：如何方便的构建本体、本体的形式化描述、如何集成己有本体以及本体的应用等。目前，本体的构建方法主要分为两大类：一类是采用手工方式来构建，该类方法的问题是：(1)遇到复杂的领域就费时费力；(2)在建立各自的本体时均采用不同的标准、建模方法，所以构建的本体不通用；第二类是本体学习技术(Ontology Learning)，采用本体学习技术。虽然可以简化手工构建本体的工作量，但这些技术不能寻找到领域内所有隐含的概念和概念间关系，而且不能明确地以形式化方式表达所形成的概念及概念模型。另外，构建的本体具有很大的主观性，不同的领域专家会采用不同的观点去构建新的本体，以至构建出的本体不统一，存在异构的情况。因此，本文在概述分析本体研究现状和研究热点的基础上，针对本体研究中两个关键性问题领域本体构建和领域间本体集成，将粗糙集引入其中，提出了基于粗糙形式概念分析的领域本体构建方法和领域本体集成方法，并给出了以海洋领域为背景的海洋本体原型实现。本文的主要工作和创新点包括：1. 本体理论和粗糙形式概念分析的研究首先介绍了本体的基本概念，包括其定义、基本构成、描述语言、分类等；然后介绍了粗糙形式概念分析和粗糙概念格的基本理论、粗糙概念格的构造算法；最后，分析了粗糙形式概念分析与本体的区别和联系，介绍了二者结合的意义。2. 基于粗糙形式概念分析的本体构建方法研究在研究了本体构建的基本原则及介绍了已有的几种基于形式背景本体构建方法的基础上，提出了一种基于粗糙形式概念分析的本体构建方法RDOBM(Rough Domain Ontology Building Method)。这种本体构建方法，通过循环添加、编辑对象(类)和属性构建粗糙概念格，以粗糙概念格将本体可视化，构建本体原型。由于可视化的表达了概念以及概念之间的关系，因此容易为人们所理解。3. 基于粗糙形式概念分析的本体集成方法研究本文在给出本体现有的一些集成方法之后，针对粗糙形式分析这一特有的形式背景，将RFCA技术引入到本体集成中，分别对同一领域和交叉领域的本体集成过程进行了详细的描述，并给出了海洋领域本体集成的实例。4. 基于海洋领域的本体实例及实现方法根据之前介绍的RDOBM方法，本文以海洋领域为背景，给出了海洋粗糙本体的实例，首次将RDOBM方法运用到了海洋领域中；并在此基础上，给出了详细的海洋本体原型设计和实现。将其与目前的半自动本体技术做了相应的比较，说明了该方法的优越性。关键词：粗糙形式概念分析；海洋本体构建；海洋本体集成58Using Rough Formal Concept Analysis for Ocean Ontology Building and IntegrationAbstractOntology is the explicit and formal description of shared-conceptualization. It can provide semantic meaning through relations between concepts. The aim of ontology is to obtain, describe and express the knowledge of related domain. Ontology provides common understanding of the domain knowledge and confirms common approbatory vocabularies in the domain, as well as gives specific definition of the relation between these vocabularies from formal model of different levels. As a fine model for presenting hierarchy and semantic meaning of concepts, ontology has been used widely in the fields of computer science. With the broad application of ontology, ontology development also faces some problems of reality. Such as, how to conveniently build ontology, formally describe ontology, integrate ontology and the ontology application.The construction method of ontology is mainly divided into two kinds at present:One is manual ontology building, in while the problem is: (1) In a complicated field itis time-consuming and strenuous; (2) We adopt different standards and modeling methods while building ontology, so that ontology is not currency; The second method to build ontology is 0ntology Learning. By this way we can simplify the manual workload of ontology building. But the teleology cant search concepts and the relation among all connotative concepts in the field. Moreover, it cant present the concepts and conceptual model with definite formalized way. Besides, ontology building is of great subjectivity. It will lead to the disunity of ontology construction because different domain experts adopt different views. On the basis of a brief analysis of ontology research status and hotspots, this thesis focuses on two key problems of ontology research: ontology building and ontology integration. We propose approaches of RFCA-based ontology building and integration through introducing the method of rough formal concept analysis.The primary work and contributions of this thesis are as follows:1. The research of ontology theories and rough formal concept analysisFirstly, this thesis introduces the basic concepts of ontology, including the definitions of ontology, the description language of ontology and ontology classifications. Secondly the thesis introduces the theories of rough formal concept analysis and rough concept lattice. Lastly, analyze the differences and relations between ontology and rough formal concept analysis.2. Research on approaches of RFCA-based ontology buildingAfter researching the basic criterion and methods of ontology building, a domain ontology building framework based on formal concept analysis is proposed. This method constructs rough concept lattice by adding objects (classes) and properties and to visualizing ontology by rough concept lattice, then builds original ontology. The approach that describes visualizing concepts and relations between concepts is easily comprehended by people.3. Research on approaches of RFCA-based ontology integrationIn this paper, it introduces the rough formal concept analysis into ontology integration after the existed integration are described and instructs the course of ontology integration between the same domain and the different fields in detail. The examples of Ocean Ontology Integration are shown to further explanation.4. An instance and implementation within the