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Construction Methods of Knowledge Mapping for Full Service Power Data Semantic Search System

机译:全服务电力数据语义搜索系统的知识映射施工方法

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摘要

The power sector continues to accumulate a large amount of data resources, including relevant standard specifications, technical documents, management documents, fault resolution records. How to quickly query and intelligently search these documents is of great value for grid dispatching and fault recovery. The domain search system of traditional power grid is based on keywords, and has the problems of low precision and recall rate. It cannot understand the business language and cannot support semantic reasoning. This paper designs and implements a method based on knowledge mapping to construct the power domain semantic search system. Semantic knowledge extraction of unstructured data is carried out by intelligent domain segmentation technology, organized and stored as knowledge mapping, and semantic search for support reasoning is realized based on knowledge mapping. The process of constructing domain semantic search system is introduced. Experiments show that the accuracy rate and recall rate of the method have been greatly improved.
机译:电源扇区继续累积大量数据资源,包括相关的标准规范,技术文件,管理文档,故障分辨率记录。如何快速查询和智能地搜索这些文档对于网格调度和故障恢复有很大的价值。传统电网的域名搜索系统基于关键字,具有低精度和召回率的问题。它无法理解商务语言,无法支持语义推理。本文设计和实现了一种基于知识映射的方法,以构建电源域语义搜索系统。非结构化数据的语义知识提取由智能域分割技术进行,组织和存储作为知识映射,并且基于知识映射实现了支持推理的语义搜索。介绍了构建域语义搜索系统的过程。实验表明,该方法的精度和召回率大大提高。

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