{"title":"知识图谱技术最新研究综述","authors":"Y. Wu, Xue-feng Fu, Lichen Xu, Z. Jiang","doi":"10.1109/ICCEAI52939.2021.00007","DOIUrl":null,"url":null,"abstract":"In recent years, with the in-depth development of cognitive intelligence technology, knowledge graph and its related technologies have also made breakthroughs, specifically reflected in the construction of knowledge graph, reasoning and computing technology. On the basis of a comprehensive description of the definition of knowledge graph and the discussion of the development history of knowledge graph technology, this paper summarizes their current scientific research progress around the two major technologies of knowledge representation learning and knowledge extraction in knowledge graph. This paper discriminates the advantages and disadvantages of the two technologies, and points out the direction for the follow-up research and improvement of the technology. Finally, the paper makes a summary and prospect of the future research direction of knowledge graph technology.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Summary of the Latest Research on Knowledge Graph Technology\",\"authors\":\"Y. Wu, Xue-feng Fu, Lichen Xu, Z. Jiang\",\"doi\":\"10.1109/ICCEAI52939.2021.00007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, with the in-depth development of cognitive intelligence technology, knowledge graph and its related technologies have also made breakthroughs, specifically reflected in the construction of knowledge graph, reasoning and computing technology. On the basis of a comprehensive description of the definition of knowledge graph and the discussion of the development history of knowledge graph technology, this paper summarizes their current scientific research progress around the two major technologies of knowledge representation learning and knowledge extraction in knowledge graph. This paper discriminates the advantages and disadvantages of the two technologies, and points out the direction for the follow-up research and improvement of the technology. Finally, the paper makes a summary and prospect of the future research direction of knowledge graph technology.\",\"PeriodicalId\":331409,\"journal\":{\"name\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEAI52939.2021.00007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEAI52939.2021.00007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Summary of the Latest Research on Knowledge Graph Technology
In recent years, with the in-depth development of cognitive intelligence technology, knowledge graph and its related technologies have also made breakthroughs, specifically reflected in the construction of knowledge graph, reasoning and computing technology. On the basis of a comprehensive description of the definition of knowledge graph and the discussion of the development history of knowledge graph technology, this paper summarizes their current scientific research progress around the two major technologies of knowledge representation learning and knowledge extraction in knowledge graph. This paper discriminates the advantages and disadvantages of the two technologies, and points out the direction for the follow-up research and improvement of the technology. Finally, the paper makes a summary and prospect of the future research direction of knowledge graph technology.