Construction Methods of Knowledge Mapping for Full Service Power Data Semantic Search System
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Construction Methods of Knowledge Mapping for Full Service Power Data Semantic Search System Tong Chen 1 & Shujuan Zhang 2 & Yuan Wang 3 & Zhengbo Chen 1 & Wenfeng Jing 4 Received: 11 July 2020 / Revised: 12 August 2020 / Accepted: 24 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords Power dispatch . Fault recovery . Semantic web . Semantic search . Knowledge mapping
1 Introduction The development of information technology has continuously promoted the transformation of Internet technology. As the iconic technology of the Internet era, web net is the core of
* Tong Chen [email protected] Shujuan Zhang [email protected] Yuan Wang [email protected] Zhengbo Chen [email protected] 1
State Grid Zhejiang Power Co. Ltd., 8 Huanglong Road, Hangzhou 310007, China
2
State Grid Anhui Power Co. Ltd., 33 Xinjian St Jianping Town Langxi County, Xuancheng 242100, China
3
NARI Group Co. Ltd., 19 Chengxin Avenue Jiangning District, Nanjing 211000, China
4
School of Mathematics and Statistics, Xi’an Jiaotong University, 28, Xianning West Road, Xi’an, Shaanxi, People’s Republic of China 710049
this technological transformation. Semantic network is a network of data. Semantic network technology provides users with a query environment. Its core meaning is to return the processed and inferred knowledge to users in a graphical way. Knowledge mapping is a foundation and bridge to realize intelligent semantic retrieval. Traditional search engine can quickly sort web pages based on user’s queries, improving the efficiency of information retrieval [1]. However, such web page retrieval does not mean that users can obtain information and knowledge quickly and accurately. For a large number of results of search engine feedback, manual screening is also needed. With the explosive growth of the total amount of network information, the information retrieval method has been unable to meet the needs of people to make full
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