{"title":"一些地理数据管理系统的实验评价","authors":"Tamás Matuszka, A. Kiss","doi":"10.1109/ICCES.2014.7030935","DOIUrl":null,"url":null,"abstract":"Several Geographic Information Systems have become available nowadays. As a result, the most widely used, different types of databases (relational, semantic, NoSQL) allow efficient management of spatial data types. These spatial functions are also required by Augmented Reality browsers in order to handle Points of Interest that have some spatial attributes. In the past few years, some studies on database evaluation and benchmarking applications have been published. However, we have not found one that would be optimized for the case of Augmented Reality browsers. In this paper, a benchmarking tool and the evaluation of spatial properties of the most popular relational and semantic databases is presented.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Experimental evaluation of some geodata management systems\",\"authors\":\"Tamás Matuszka, A. Kiss\",\"doi\":\"10.1109/ICCES.2014.7030935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several Geographic Information Systems have become available nowadays. As a result, the most widely used, different types of databases (relational, semantic, NoSQL) allow efficient management of spatial data types. These spatial functions are also required by Augmented Reality browsers in order to handle Points of Interest that have some spatial attributes. In the past few years, some studies on database evaluation and benchmarking applications have been published. However, we have not found one that would be optimized for the case of Augmented Reality browsers. In this paper, a benchmarking tool and the evaluation of spatial properties of the most popular relational and semantic databases is presented.\",\"PeriodicalId\":339697,\"journal\":{\"name\":\"2014 9th International Conference on Computer Engineering & Systems (ICCES)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 9th International Conference on Computer Engineering & Systems (ICCES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCES.2014.7030935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES.2014.7030935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experimental evaluation of some geodata management systems
Several Geographic Information Systems have become available nowadays. As a result, the most widely used, different types of databases (relational, semantic, NoSQL) allow efficient management of spatial data types. These spatial functions are also required by Augmented Reality browsers in order to handle Points of Interest that have some spatial attributes. In the past few years, some studies on database evaluation and benchmarking applications have been published. However, we have not found one that would be optimized for the case of Augmented Reality browsers. In this paper, a benchmarking tool and the evaluation of spatial properties of the most popular relational and semantic databases is presented.
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