基于关系数据的电力终端设备知识图谱自动构建

Zheng Su, Mukai Hao, Qiang Zhang, Bo Chai, Ting Zhao
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引用次数: 2

摘要

近年来,知识图谱(Knowledge Graph, KG)在领域知识建模中得到了广泛的应用,因此在由大量电力终端设备和传感设备组成的泛在电力物联网(UPIoT)中受到了越来越多的关注。本文提出了一种从电力终端设备相关数据中提取本体信息并实例化对象的自动构建电力终端设备知识图谱的框架。首先,通过分析不同类型设备的数据模式及其属性,构建本体概念和概念之间的层次结构;然后通过实例化每个对象及其二元关系,构建不同类型设备对象的知识图谱。此外,给出了自动构建电力终端设备完整知识图谱的相关算法。本文认为,该方法将极大地促进UPIoT环境下电力终端设备多源异构数据的信息共享。
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Automatic Knowledge Graph Construction Based on Relational Data of Power Terminal Equipment
In the last years, Knowledge Graph (KG) has been widely applied in domain knowledge modeling, and therefore has received more attention in the Ubiquitous Power Internet of Things (UPIoT) that consists of a large number of power terminal equipment and sensing devices. In this paper, we propose an automatic framework to construct power terminal equipment knowledge graph by extracting ontological information and instantiating objects from the relational data of power terminal equipment. First, the ontological concepts and the hierarchy between concepts are built by analyzing the data schemas of different types of devices and their properties. Then the knowledge graph for different types of device objects is constructed by instantiating every object and their binary relations. In addition, we give the relevant algorithms of automatically constructing the complete knowledge graph of power terminal equipment. We argue that the proposed approach will greatly facilitate the information sharing of multi-source heterogeneous data of power terminal equipment on the environment of UPIoT.
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