{"title":"绘制DBpedia:迈向一个主要关联数据集的制图","authors":"M. Cristina Pattuelli, S. Rubinow","doi":"10.5771/9783956504402-75","DOIUrl":null,"url":null,"abstract":"This paper provides an analysis of the knowledge structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Data landscape. The study reveals an evolving knowledge representation environment where different descriptive and classification approaches are employed concurrently. This analysis opens up a new area of research to which the knowledge organization community can make a significant contribution.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"219 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Charting DBpedia: Towards a Cartography of a Major Linked Dataset\",\"authors\":\"M. Cristina Pattuelli, S. Rubinow\",\"doi\":\"10.5771/9783956504402-75\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides an analysis of the knowledge structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Data landscape. The study reveals an evolving knowledge representation environment where different descriptive and classification approaches are employed concurrently. This analysis opens up a new area of research to which the knowledge organization community can make a significant contribution.\",\"PeriodicalId\":249610,\"journal\":{\"name\":\"Categories, Contexts and Relations in Knowledge Organization\",\"volume\":\"219 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Categories, Contexts and Relations in Knowledge Organization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5771/9783956504402-75\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Categories, Contexts and Relations in Knowledge Organization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5771/9783956504402-75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Charting DBpedia: Towards a Cartography of a Major Linked Dataset
This paper provides an analysis of the knowledge structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Data landscape. The study reveals an evolving knowledge representation environment where different descriptive and classification approaches are employed concurrently. This analysis opens up a new area of research to which the knowledge organization community can make a significant contribution.
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