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Received:July 27, 2015 Revised:October 19, 2015
Received:July 27, 2015 Revised:October 19, 2015
中文摘要: 电力领域不断累积大量的数据资源,包含相关标准规范、技术文档、管理文档、故障解决记录等等,如何对这些文档进行快速查询和智能搜索,对于电网调度与故障恢复具有重要价值.传统的电力领域搜索系统都是基于关键词来实现,存在查准率和召回率低的问题,无法理解业务语言,无法支持语义推理.本文设计实现一种基于知识图谱的电力领域语义搜索系统的构建方法,通过智能领域分词技术对非结构化数据进行语义知识提取,组织并存储为知识图谱,基于知识图谱来实现支持推理的语义搜索.介绍了领域语义搜索系统构建流程,并进行平台实现,实验表明该方法查准率和召回率均有较大提升.
Abstract:Large amounts of data resources including relevant standards, products and technical documents, document management, fault recover records, etc. in the power domain continue to accumulate. How to fast query and search of these documents has important value for grid scheduling and fault recovery. The traditional search system is based on the key words matching, which cannot find accurate answers for query business terms. This paper designs a semantic search system for power domain. We research on word segmentation technology, knowledge graph and inference engine. The design architecture and key modules of the system are introduced, and the effectiveness of the method is evaluated by experiments.
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姬源,谢冬,周思明,王向东.电力领域语义搜索系统的构建方法.计算机系统应用,2016,25(4):91-96
JI Yuan,XIE Dong,ZHOU Si-Ming,WANG Xiang-Dong.Construction Method of Semantic Search System in Power Domain.COMPUTER SYSTEMS APPLICATIONS,2016,25(4):91-96
姬源,谢冬,周思明,王向东.电力领域语义搜索系统的构建方法.计算机系统应用,2016,25(4):91-96
JI Yuan,XIE Dong,ZHOU Si-Ming,WANG Xiang-Dong.Construction Method of Semantic Search System in Power Domain.COMPUTER SYSTEMS APPLICATIONS,2016,25(4):91-96