DATABASE USAGE IN SEMANTIC ONTOLOGIES

Daniēls Zeps, Imants Zarembo, Sergejs Kodors
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Abstract

Semantic ontology languages are a way for experts to write down their knowledge in a commonly accepted way, it allows information to be understood by humans and machines. However, ontology tools do not provide the ability to use this data in a database for geodata-based analysis easily. The project is focused on ontology web language (OWL) usage for web content generation for business-to-business communication using geodata analysis. This specific paper is focused on selecting a database that could support the ontology tools. In the research scope, different databases were checked (relationship, document, and graph databases). In conclusion, graph databases were the most similar to the structure of the ontology, so it was chosen to use Neo4j as the database.
语义本体中的数据库使用
语义本体语言是专家以一种普遍接受的方式记录知识的一种方式,它允许人类和机器理解信息。然而,本体工具不提供在数据库中轻松使用这些数据进行基于地理数据的分析的能力。该项目侧重于本体网络语言(OWL)的使用,通过地理数据分析为企业对企业通信生成网络内容。本文的重点是选择一个能够支持本体工具的数据库。在研究范围内,检查了不同的数据库(关系数据库、文档数据库和图形数据库)。综上所述,图数据库与本体的结构最相似,因此选择Neo4j作为数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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