基于本体的矢量数据一致性检查研究

发布时间：2018-01-08 01:32

本文关键词：基于本体的矢量数据一致性检查研究　出处：《浙江大学》2017年硕士论文　论文类型：学位论文

【摘要】：空间数据的一致性作为空间数据质量评价的重要指标,在空间数据入库前进行数据一致性检查是空间数据生产和更新中的重要步骤。其中,矢量数据一致性检查是空间数据一致性检查和处理中的重要组成部分。目前,国内外对于矢量数据的一致性检查研究中,大多集中在空间拓扑一致性方面的检查,而对于语义层次的一致性检查研究较少;传统的矢量数据一致性检查大多是从数据本身出发,很少利用外部参考数据进行一致性检查。外部参考数据与待检查的目标数据往往是多源的,与外部参考数据的一致性研究就是多源数据间的一致性研究。因此,本文选取现势性好质量高的相关专题矢量数据作为待检查数据的参考数据,结合本体强大的语义表达能力和本体规则的逻辑推理能力,从单一矢量数据一致性和多源矢量数据间一致性两个方面分别进行检查,提出一种基于本体的矢量数据一致性检查方法,主要研究内容有:(1)探讨单一矢量数据一致性约束和多源矢量数据一致性约束的内容,提出通过参考数据预处理和本体集成来消除多源数据间异构问题的可实施性,并指出异构问题的解决是多源数据间一致性检查的前提。(2)研究了本体规则的表达和推理。针对一致性检查的目的,提出一种使用本体规则来进行一致性检查的流程和方法。(3)研究了多源空间数据间异质问题的解决方法,结合现有的研究成果,对具体步骤进行详细阐述。提出了参考数据选择的准则和一种应用本体的构建方法。(4)实验设计与实现。将上述基于本体的矢量数据一致性检查的方法流程应用于土地利用现状数据一致性检查中,验证方法的有效性。
[Abstract]:Spatial data consistency is an important indicator to evaluate the quality of spatial data, the spatial data storage before the data consistency check is an important step in the production and updating of spatial data. The vector data consistency check is an important part of spatial data consistency check and processing. At present, domestic and foreign research on consistency check the vector data, mostly concentrated in the space topological consistency check for semantic consistency check of vector data consistency check; most of the traditional starting from the data itself, rarely using external reference data consistency check. The external reference data and the target data to be examined are often multiple the consistency of the research and Research on the consistency of external reference data is multi-source data. Therefore, this paper selects the current good high quality is designed The vector data as the reference data to check the data, logic and reasoning with ontology strong semantic expression ability and ontology rules, from a single vector data consistency and multi-source vector data consistency between the two aspects of inspection, proposed a vector data consistency check method based on ontology, the main contents are: (1) to investigate the single vector data consistency constraint and multi vector data consistency constraint is proposed through the implementation of the content, reference data preprocessing and ontology integration to eliminate the problem of heterogeneous multi-source data, and pointed out that to solve the problem of heterogeneous multi-source data is consistent between the premise of the examination. (2) expression and reasoning research ontology rules. For the purpose of consistency check, put forward the process and method of a consistency check using the ontology rules. (3) research of multi-source spatial data between different The solution quality problems, combined with existing research results, elaborated on the specific steps. Put forward a method to construct the reference data selection criteria and an application ontology. (4) and implementation of experimental design. The method of process application consistency check vector data based on Ontology in the current land use data consistency check and verify the validity of the method.

【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P208

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