{"title":"知识图语义","authors":"J. Hendler","doi":"10.1145/3534540.3534709","DOIUrl":null,"url":null,"abstract":"Oh dear, there's that word again - \"semantics!\" Isn't that what doomed that Semantic Web thing and led to knowledge graphs instead? In fact, many of the same problems, and particularly problems with interoperability, arise again for KGs, and thus we must explore the old problem in this new area. This is even more important when we start to explore the \"personal knowledge graph (PKG),\" that is, the ability to have private and public information combined in KG technology. In this talk, I discuss how knowledge graphs, PKGs, linked data and, yes, semantics are all critically linked and why the latter is still relevant to the growth and scaling of knowledge graphs into the future - and specifically to the ability to extract better data from them.","PeriodicalId":309669,"journal":{"name":"Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge graph semantics\",\"authors\":\"J. Hendler\",\"doi\":\"10.1145/3534540.3534709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Oh dear, there's that word again - \\\"semantics!\\\" Isn't that what doomed that Semantic Web thing and led to knowledge graphs instead? In fact, many of the same problems, and particularly problems with interoperability, arise again for KGs, and thus we must explore the old problem in this new area. This is even more important when we start to explore the \\\"personal knowledge graph (PKG),\\\" that is, the ability to have private and public information combined in KG technology. In this talk, I discuss how knowledge graphs, PKGs, linked data and, yes, semantics are all critically linked and why the latter is still relevant to the growth and scaling of knowledge graphs into the future - and specifically to the ability to extract better data from them.\",\"PeriodicalId\":309669,\"journal\":{\"name\":\"Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3534540.3534709\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3534540.3534709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Oh dear, there's that word again - "semantics!" Isn't that what doomed that Semantic Web thing and led to knowledge graphs instead? In fact, many of the same problems, and particularly problems with interoperability, arise again for KGs, and thus we must explore the old problem in this new area. This is even more important when we start to explore the "personal knowledge graph (PKG)," that is, the ability to have private and public information combined in KG technology. In this talk, I discuss how knowledge graphs, PKGs, linked data and, yes, semantics are all critically linked and why the latter is still relevant to the growth and scaling of knowledge graphs into the future - and specifically to the ability to extract better data from them.