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随着本体种类和资源的增加,本体的结构越来越复杂,如何合理地存储各种结构类型的本体、支持高效的本体查询是一项很有意义且具有挑战性的课题。本文提出一种面向复杂多值属性的本体存储方法,采用与传统的本体分解存储模式不同的数据库模式分解方法,将单属性值资源与多属性值资源的存储分别处理来解决资源与属性值之间的复杂关系问题,并通过对资源和其属性值的统一存储来解决存储冗余问题。实验结果验证了该本体存储方法在获取复杂本体关系方面的优势,但同时也暴露出模式结构的易理解性与模式的查询效率之间的矛盾,在此基础上提出了修正存储模式的折中方案,实验表明查询资源的速度比原来方案基本快了一个数量级,但这是以冗余的多个表结构为代价的。
With the increase of ontology types and resources, the ontology structure becomes more and more complex. How to store ontologies of various structure types reasonably and to support efficient ontology inquiries is a very meaningful and challenging subject. In this paper, an ontology storage method for complex multi-valued attributes is proposed, which adopts a different database pattern decomposition method from the traditional ontology decomposition storage mode, and separately processes the storage of single attribute value resources and multiple attribute value resources to solve the resource and attribute values Between the complex relationship between the problem, and through the resource and its attribute value of the unified storage to solve the problem of storage redundancy. The experimental results verify the advantages of the ontology storage method in obtaining complex ontology relations, but also reveal the contradiction between the comprehensibility of the schema structure and the query efficiency of the schema. On this basis, the compromise of the revised storage schema Programs show that the speed of querying resources is almost an order of magnitude faster than the original solution, but this is at the expense of redundant multiple table structures.