{"title":"将地理空间数据转换为RDF","authors":"George M. Mandilaras","doi":"10.1145/3581906.3581916","DOIUrl":null,"url":null,"abstract":"produced according to the geospatial ontologies of Chapter 5. However, there is a lot of legacy geospatial data that it not available in RDF; they might be stored in spatially enabled relational databases (e.g., PostGIS) or files (e.g., shapefiles). This chapter discusses how to transform geospatial data sources from their original for mats (e.g., shapefiles) into RDF. The tool GeoTriples developed by the authors1 is used in the examples. Transforming Geospatial Data into RDF","PeriodicalId":433742,"journal":{"name":"Geospatial Data Science","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transforming Geospatial Data into RDF\",\"authors\":\"George M. Mandilaras\",\"doi\":\"10.1145/3581906.3581916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"produced according to the geospatial ontologies of Chapter 5. However, there is a lot of legacy geospatial data that it not available in RDF; they might be stored in spatially enabled relational databases (e.g., PostGIS) or files (e.g., shapefiles). This chapter discusses how to transform geospatial data sources from their original for mats (e.g., shapefiles) into RDF. The tool GeoTriples developed by the authors1 is used in the examples. Transforming Geospatial Data into RDF\",\"PeriodicalId\":433742,\"journal\":{\"name\":\"Geospatial Data Science\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geospatial Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3581906.3581916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geospatial Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3581906.3581916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
produced according to the geospatial ontologies of Chapter 5. However, there is a lot of legacy geospatial data that it not available in RDF; they might be stored in spatially enabled relational databases (e.g., PostGIS) or files (e.g., shapefiles). This chapter discusses how to transform geospatial data sources from their original for mats (e.g., shapefiles) into RDF. The tool GeoTriples developed by the authors1 is used in the examples. Transforming Geospatial Data into RDF