Research on the Design and Implementation of a Knowledge Graph Construction Tool

DOI

10.2991/978-94-6463-238-5_82How to use a DOI?

Keywords

Knowledge graph; Relationship extraction; Named entity recognition; Model import; Tool platform

Abstract

Since its development, knowledge graph has been widely used in the field of data processing. In this paper, by designing and implementing knowledge graph construction and visualization tools, we aim to solve the problems that the current knowledge graph construction process in general fields is not standardized and the construction cost is high, we adopt the Django framework of python to develop web pages, the secondary graph database stores data, and Echarts visually displays knowledge graph, thus realizing a knowledge graph construction tool with the functions of resource introduction, text annotation, extraction and recognition, and graph overview, and propose a solution for knowledge graph construction with convenient operation and comprehensive functions, so as to show knowledge intuitively in a visual way. In this paper, by comparing with different types of knowledge graph platforms in China, such as Huawei Cloud, KGCloud, and Taoist Knowledge graph, we adopt the Django framework of python to develop web pages, the secondary graph database stores data, and Echarts visually displays knowledge graph, thus realizing a knowledge graph construction tool with the functions of resource introduction, text annotation, extraction and recognition, and graph overview, and supporting manual annotation of triples. The introduction of various types of resource files, entity identification and relationship extraction models has solved the various needs of users in the process of building knowledge graphs, contributed to the popularization of knowledge graphs, and enabled users to process data through knowledge graph technology more conveniently, thus improving the efficiency of data mining.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - XueSong He
AU  - Yibo Liu
PY  - 2023
DA  - 2023/09/26
TI  - Research on the Design and Implementation of a Knowledge Graph Construction Tool
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 605
EP  - 615
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_82
DO  - 10.2991/978-94-6463-238-5_82
ID  - He2023
ER  -