{"title":"知识融合与时空数据清洗研究进展","authors":"Huchen Zhou, Mohan Li, Zhaoquan Gu","doi":"10.1109/DSC50466.2020.00052","DOIUrl":null,"url":null,"abstract":"Knowledge fusion is aimed to establish the relationship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the key technologies for solving knowledge fusion problems. In this paper, we provide a brief survey of knowledge fusion and data cleaning. We first briefly introduce the importance and background of knowledge fusion and data cleaning. Then we discuss some recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.","PeriodicalId":423182,"journal":{"name":"2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Knowledge Fusion and Spatiotemporal Data Cleaning: A Review\",\"authors\":\"Huchen Zhou, Mohan Li, Zhaoquan Gu\",\"doi\":\"10.1109/DSC50466.2020.00052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge fusion is aimed to establish the relationship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the key technologies for solving knowledge fusion problems. In this paper, we provide a brief survey of knowledge fusion and data cleaning. We first briefly introduce the importance and background of knowledge fusion and data cleaning. Then we discuss some recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.\",\"PeriodicalId\":423182,\"journal\":{\"name\":\"2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)\",\"volume\":\"135 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSC50466.2020.00052\",\"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 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSC50466.2020.00052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge Fusion and Spatiotemporal Data Cleaning: A Review
Knowledge fusion is aimed to establish the relationship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the key technologies for solving knowledge fusion problems. In this paper, we provide a brief survey of knowledge fusion and data cleaning. We first briefly introduce the importance and background of knowledge fusion and data cleaning. Then we discuss some recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.
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