Mohammed Abdalla, Hoda M. O. Mokhtar, M. Noureldin
{"title":"A Unified Approach for Spatial Data Query","authors":"Mohammed Abdalla, Hoda M. O. Mokhtar, M. Noureldin","doi":"10.5121/IJDKP.2013.3604","DOIUrl":null,"url":null,"abstract":"With the rapid development in Geographic Information Systems (GISs) and their applications, more and more geo-graphical databases have been developed by different vendors. However, data integration and accessing is still a big problem for the development of GIS applications as no interoperability exists among different spatial databases. In this paper we propose a unified approach for spatial data query. The paper describes a framework for integrating information from repositories containing different vector data sets formats and repositories containing raster datasets. The presented approach converts different vector data formats into a single unified format (File Geo-Database “GDB”). In addition, we employ “metadata” to support a wide range of users’ queries to retrieve relevant geographic information from heterogeneous and distributed repositories. Such an employment enhances both query processing and performance.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"6 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining & Knowledge Management Process","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJDKP.2013.3604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
With the rapid development in Geographic Information Systems (GISs) and their applications, more and more geo-graphical databases have been developed by different vendors. However, data integration and accessing is still a big problem for the development of GIS applications as no interoperability exists among different spatial databases. In this paper we propose a unified approach for spatial data query. The paper describes a framework for integrating information from repositories containing different vector data sets formats and repositories containing raster datasets. The presented approach converts different vector data formats into a single unified format (File Geo-Database “GDB”). In addition, we employ “metadata” to support a wide range of users’ queries to retrieve relevant geographic information from heterogeneous and distributed repositories. Such an employment enhances both query processing and performance.