Fangyuan Ju, Xinyi Zhou, Ying Zhou, Xinyi Jiang, Sitong Li
{"title":"基于艺术家作品的知识图谱研究","authors":"Fangyuan Ju, Xinyi Zhou, Ying Zhou, Xinyi Jiang, Sitong Li","doi":"10.1109/ICCIA52886.2021.00050","DOIUrl":null,"url":null,"abstract":"In order to fill the gaps in the field of artistes’ information display and increase the diversity of the artistes’ network space, this paper proposes a knowledge graph model based on the artistes’ works. The paper uses data mining and analysis techniques to obtain artiste’s information, evaluates the artistes in multiple dimensions, and extracts the collaboration between them. Finally, the paper uses interactive visualization methods to display the artistes’ collaboration network, and realizes the construction and realization of the knowledge graph based on the works.","PeriodicalId":269269,"journal":{"name":"2021 6th International Conference on Computational Intelligence and Applications (ICCIA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Knowledge Graph Based on Artistes’ Works\",\"authors\":\"Fangyuan Ju, Xinyi Zhou, Ying Zhou, Xinyi Jiang, Sitong Li\",\"doi\":\"10.1109/ICCIA52886.2021.00050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to fill the gaps in the field of artistes’ information display and increase the diversity of the artistes’ network space, this paper proposes a knowledge graph model based on the artistes’ works. The paper uses data mining and analysis techniques to obtain artiste’s information, evaluates the artistes in multiple dimensions, and extracts the collaboration between them. Finally, the paper uses interactive visualization methods to display the artistes’ collaboration network, and realizes the construction and realization of the knowledge graph based on the works.\",\"PeriodicalId\":269269,\"journal\":{\"name\":\"2021 6th International Conference on Computational Intelligence and Applications (ICCIA)\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 6th International Conference on Computational Intelligence and Applications (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIA52886.2021.00050\",\"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 6th International Conference on Computational Intelligence and Applications (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIA52886.2021.00050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Knowledge Graph Based on Artistes’ Works
In order to fill the gaps in the field of artistes’ information display and increase the diversity of the artistes’ network space, this paper proposes a knowledge graph model based on the artistes’ works. The paper uses data mining and analysis techniques to obtain artiste’s information, evaluates the artistes in multiple dimensions, and extracts the collaboration between them. Finally, the paper uses interactive visualization methods to display the artistes’ collaboration network, and realizes the construction and realization of the knowledge graph based on the works.