{"title":"Comparing OSM Area-Boundary Data to DBpedia","authors":"Doris Silbernagl, Nikolaus Krismer, Günther Specht","doi":"10.1145/2957792.2957806","DOIUrl":null,"url":null,"abstract":"OpenStreetMap (OSM) is a well known and widely used data source for geographic data. This kind of data can also be found in Wikipedia in the form of geographic locations, such as cities or countries. Next to the geographic coordinates, also statistical data about the area of these elements can be present. Since it is possible to extract these data from OpenStreetMap as well, it is sensible to examine the quality of the OSM information about those specific boundary elements and compare them to an also crowd-sourced source like Wikipedia. Hence, in this paper OSM data of different countries are used to calculate the area of valid boundary (multi-) polygons and are then compared to the respective DBpedia (a large-scale knowledge base extract from Wikipedia) entries.","PeriodicalId":297748,"journal":{"name":"Proceedings of the 12th International Symposium on Open Collaboration","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th International Symposium on Open Collaboration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2957792.2957806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
OpenStreetMap (OSM) is a well known and widely used data source for geographic data. This kind of data can also be found in Wikipedia in the form of geographic locations, such as cities or countries. Next to the geographic coordinates, also statistical data about the area of these elements can be present. Since it is possible to extract these data from OpenStreetMap as well, it is sensible to examine the quality of the OSM information about those specific boundary elements and compare them to an also crowd-sourced source like Wikipedia. Hence, in this paper OSM data of different countries are used to calculate the area of valid boundary (multi-) polygons and are then compared to the respective DBpedia (a large-scale knowledge base extract from Wikipedia) entries.