Survey of Research on Construction Method of Industry Internet Security Knowledge Graph

The industry Internet security knowledge graph plays an important role in enriching the semantic relationships of security concepts, improving the quality of the security knowledge base, and enhancing the ability to visualize and analyze the security situation. It has become the key to recognize, tr...

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Main Author: CHANG Yu, WANG Gang, ZHU Peng, KONG Lingfei, HE Jingheng
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-02-01
Series:Jisuanji kexue yu tansuo
Subjects:
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2304081.pdf
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author CHANG Yu, WANG Gang, ZHU Peng, KONG Lingfei, HE Jingheng
author_facet CHANG Yu, WANG Gang, ZHU Peng, KONG Lingfei, HE Jingheng
author_sort CHANG Yu, WANG Gang, ZHU Peng, KONG Lingfei, HE Jingheng
collection DOAJ
description The industry Internet security knowledge graph plays an important role in enriching the semantic relationships of security concepts, improving the quality of the security knowledge base, and enhancing the ability to visualize and analyze the security situation. It has become the key to recognize, trace and protect against the attacks targeting new energy industry control systems. However, compared with the construction of the general domain knowledge graph, there are still many problems in each stage of the construction of the industry Internet security knowledge graph, which affect its practical application effect. This paper introduces the concept and significance of the industry Internet security knowledge graph and its difference from the general knowledge graph, summarizes the related work and role of the ontology construction of industry Internet security knowledge graph. Under the background of industry Internet security, it focuses on the related work of the three important components of knowledge graph construction, respectively named entity recognition, relationship extraction and reference resolution. For each component, it detailedly reports on the development history and research status of this component in the domain, and deeply analyses the domain challenges in this component, such as non-continuous entity recognition, candidate word extraction, the lack of domain-quality datasets and so on. It predicts the future research directions of this component, provides reference and enlightenment to further improve the quality and usefulness of industry Internet security knowledge graph, so as to deal with emerging threats and attacks more effectively.
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spelling doaj.art-0501db49d783481c940f620539a3c17a2024-02-02T07:10:08ZzhoJournal of Computer Engineering and Applications Beijing Co., Ltd., Science PressJisuanji kexue yu tansuo1673-94182024-02-0118227930010.3778/j.issn.1673-9418.2304081Survey of Research on Construction Method of Industry Internet Security Knowledge GraphCHANG Yu, WANG Gang, ZHU Peng, KONG Lingfei, HE Jingheng0School of Data Science and Application, Inner Mongolia University of Technology, Hohhot 010000, ChinaThe industry Internet security knowledge graph plays an important role in enriching the semantic relationships of security concepts, improving the quality of the security knowledge base, and enhancing the ability to visualize and analyze the security situation. It has become the key to recognize, trace and protect against the attacks targeting new energy industry control systems. However, compared with the construction of the general domain knowledge graph, there are still many problems in each stage of the construction of the industry Internet security knowledge graph, which affect its practical application effect. This paper introduces the concept and significance of the industry Internet security knowledge graph and its difference from the general knowledge graph, summarizes the related work and role of the ontology construction of industry Internet security knowledge graph. Under the background of industry Internet security, it focuses on the related work of the three important components of knowledge graph construction, respectively named entity recognition, relationship extraction and reference resolution. For each component, it detailedly reports on the development history and research status of this component in the domain, and deeply analyses the domain challenges in this component, such as non-continuous entity recognition, candidate word extraction, the lack of domain-quality datasets and so on. It predicts the future research directions of this component, provides reference and enlightenment to further improve the quality and usefulness of industry Internet security knowledge graph, so as to deal with emerging threats and attacks more effectively.http://fcst.ceaj.org/fileup/1673-9418/PDF/2304081.pdfindustry internet security; knowledge graph; named entity recognition; relation extraction; coreference resolution
spellingShingle CHANG Yu, WANG Gang, ZHU Peng, KONG Lingfei, HE Jingheng
Survey of Research on Construction Method of Industry Internet Security Knowledge Graph
Jisuanji kexue yu tansuo
industry internet security; knowledge graph; named entity recognition; relation extraction; coreference resolution
title Survey of Research on Construction Method of Industry Internet Security Knowledge Graph
title_full Survey of Research on Construction Method of Industry Internet Security Knowledge Graph
title_fullStr Survey of Research on Construction Method of Industry Internet Security Knowledge Graph
title_full_unstemmed Survey of Research on Construction Method of Industry Internet Security Knowledge Graph
title_short Survey of Research on Construction Method of Industry Internet Security Knowledge Graph
title_sort survey of research on construction method of industry internet security knowledge graph
topic industry internet security; knowledge graph; named entity recognition; relation extraction; coreference resolution
url http://fcst.ceaj.org/fileup/1673-9418/PDF/2304081.pdf
work_keys_str_mv AT changyuwanggangzhupengkonglingfeihejingheng surveyofresearchonconstructionmethodofindustryinternetsecurityknowledgegraph