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

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Abstract

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.

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Acknowledgements

This work was supported by the Science and Technology Project of State Grid Corporation of China (Project number: 5211XT180045).

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Authors and Affiliations

  1. State Grid Zhejiang Power Co. Ltd., 8 Huanglong Road, Hangzhou, 310007, China

    Tong Chen & Zhengbo Chen

  2. State Grid Anhui Power Co. Ltd., 33 Xinjian St Jianping Town Langxi County, Xuancheng, 242100, China

    Shujuan Zhang

  3. NARI Group Co. Ltd., 19 Chengxin Avenue Jiangning District, Nanjing, 211000, China

    Yuan Wang

  4. School of Mathematics and Statistics, Xi’an Jiaotong University, 28, Xianning West Road, Xi’an, Shaanxi, People’s Republic of China, 710049

    Wenfeng Jing

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  1. Tong Chen
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  2. Shujuan Zhang
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  3. Yuan Wang
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  4. Zhengbo Chen
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  5. Wenfeng Jing
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Correspondence to Tong Chen.

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Chen, T., Zhang, S., Wang, Y. et al. Construction Methods of Knowledge Mapping for Full Service Power Data Semantic Search System. J Sign Process Syst 93, 275–284 (2021). https://doi.org/10.1007/s11265-020-01591-6

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  • DOI: https://doi.org/10.1007/s11265-020-01591-6

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