{"title":"唐宋诗歌跨媒介知识图谱的实现","authors":"Chan-liang Wu, Chunfang Li, Wenjuan Jiang","doi":"10.1109/ICMLC51923.2020.9469590","DOIUrl":null,"url":null,"abstract":"As the two peaks of Chinese culture, poems of the Tang and Song Dynasties attracts numerous scholars to devote themselves to research. \"China Biographical Database Project\" (CBDB) is a relational database of Chinese historical figures established by Harvard University, and \"Chinese poetry: the most complete database of ancient Chinese poetry\" is an open source project of GitHub. This paper uses the above databases, takes poetry in Tang and Song Dynasties as the main body, combines the related video of the cultural variety show \"Chinese Poetry Conference\" and the Chinese textbooks for primary school to establish the system of \"Knowledge Graph of Tang and Song Dynasties\", and achieves the integration of video and teaching, characters and works across the media. It provides the comprehensive search function of characters, poems and related videos, the online generation function of knowledge graph, and the display function of the chronology of the top 100 figures divided by the emperors of past dynasties. Users can interact with the knowledge graph by clicking, typing, dragging and so on to complete exploratory visual analysis.","PeriodicalId":170815,"journal":{"name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Realization of Cross-Media Knowledge Graph of Tang and Song Poetry\",\"authors\":\"Chan-liang Wu, Chunfang Li, Wenjuan Jiang\",\"doi\":\"10.1109/ICMLC51923.2020.9469590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the two peaks of Chinese culture, poems of the Tang and Song Dynasties attracts numerous scholars to devote themselves to research. \\\"China Biographical Database Project\\\" (CBDB) is a relational database of Chinese historical figures established by Harvard University, and \\\"Chinese poetry: the most complete database of ancient Chinese poetry\\\" is an open source project of GitHub. This paper uses the above databases, takes poetry in Tang and Song Dynasties as the main body, combines the related video of the cultural variety show \\\"Chinese Poetry Conference\\\" and the Chinese textbooks for primary school to establish the system of \\\"Knowledge Graph of Tang and Song Dynasties\\\", and achieves the integration of video and teaching, characters and works across the media. It provides the comprehensive search function of characters, poems and related videos, the online generation function of knowledge graph, and the display function of the chronology of the top 100 figures divided by the emperors of past dynasties. Users can interact with the knowledge graph by clicking, typing, dragging and so on to complete exploratory visual analysis.\",\"PeriodicalId\":170815,\"journal\":{\"name\":\"2020 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC51923.2020.9469590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC51923.2020.9469590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Realization of Cross-Media Knowledge Graph of Tang and Song Poetry
As the two peaks of Chinese culture, poems of the Tang and Song Dynasties attracts numerous scholars to devote themselves to research. "China Biographical Database Project" (CBDB) is a relational database of Chinese historical figures established by Harvard University, and "Chinese poetry: the most complete database of ancient Chinese poetry" is an open source project of GitHub. This paper uses the above databases, takes poetry in Tang and Song Dynasties as the main body, combines the related video of the cultural variety show "Chinese Poetry Conference" and the Chinese textbooks for primary school to establish the system of "Knowledge Graph of Tang and Song Dynasties", and achieves the integration of video and teaching, characters and works across the media. It provides the comprehensive search function of characters, poems and related videos, the online generation function of knowledge graph, and the display function of the chronology of the top 100 figures divided by the emperors of past dynasties. Users can interact with the knowledge graph by clicking, typing, dragging and so on to complete exploratory visual analysis.