基于地理本体的吉林地域知识图谱的构建

发布时间：2018-01-01 22:03

本文关键词：基于地理本体的吉林地域知识图谱的构建　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：在测绘地理行业留存着海量的档案数据,这些资料为国民经济和社会发展提供保障。目前各行业对于档案资料的整理方兴未艾,受到学界青睐和国家重视。建立档案数据的高效存储和检索系统是有效利用海量的测绘地理信息档案数据的前提。由于测绘地理行业的特殊性,档案存储和检索需要大量的地理词汇支撑,为了建立基于地理词汇的档案检索,就需要建立各个地理词汇之间的相关性规则。本文采用了本体建模的方法,主要阐述了本体的概念和由来、本体表达语言OWL以及知识图谱存储本体信息的优势,对地理本体进行分析建模,提出了地理本体的空间和层次关系模型,并运用OWL语言分别对两种关系模型进行形式化表达,建立了计算机语言的本体关系模型,然后运用本体建模工具Protege对吉林地域进行本体建模,在此基础上研究了本体推理机制,运用开源项目Jena推理机对已建立的吉林地域的各个地理本体之间的关系进行推理分析,得出推理关系模型;最后结合图数据库强大的本体图形化表达能力构建吉林地区地理本体的知识图谱。地理行业的特殊性使得知识图谱的构建异常的繁琐,它有别于普通的学科知识图谱,图谱节点之间的关系不仅要包括语义关系,还要考虑地理领域特有的拓扑、方位等空间关系。本文将本体建模的方法引入到地理行业的知识图谱构建中,本体丰富多样的关系模型与知识图谱特点高度契合,为地理行业知识图谱构建提供了解决方案,同时为其他行业知识图谱构建提供了一些新的思路。
[Abstract]:In the surveying and mapping geography industry there is a huge amount of archival data which provides protection for the national economy and social development. At present the collation of archival data in various industries is in the ascendant. The establishment of efficient storage and retrieval system of archival data is the premise of making effective use of the massive surveying and mapping geographic information file data. Because of the particularity of surveying and mapping geography industry. File storage and retrieval need a large number of geographical vocabulary support, in order to establish a geographical lexic-based file retrieval, we need to establish the correlation rules between the various geographical words. This paper adopts the ontology modeling method. This paper mainly expounds the concept and origin of ontology, the advantages of ontology expression language OWL and knowledge map to store ontology information, analyzes and models geographical ontology, and puts forward the spatial and hierarchical relationship model of geographical ontology. OWL language is used to formalize the two kinds of relational models and the ontology relationship model of computer language is established. Then the ontology modeling tool Protege is used to model the Jilin region. On this basis, the mechanism of ontology reasoning is studied, and the relationship between each geographical ontology in established Jilin region is analyzed by using the open source project Jena inference engine, and the reasoning relationship model is obtained. Finally, combining the powerful ontology graphical expression ability of graph database to construct the knowledge map of geographical ontology in Jilin region. The particularity of geographical industry makes the construction of knowledge map unusually cumbersome. It is different from the common knowledge map. The relationship between the map nodes should not only include semantic relations, but also consider the unique topologies in the geographical field. In this paper, the ontology modeling method is introduced into the knowledge map construction of geographical industry, and the rich and diverse ontology relational model is highly consistent with the characteristics of knowledge map. It provides a solution for the construction of geographical knowledge map, and provides some new ideas for the construction of knowledge map in other industries.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P208

【相似文献】