دانلود مقاله ISI انگلیسی شماره 94727
ترجمه فارسی عنوان مقاله

مدل داده های عمومی و کاداستر پشتیبانی از قابلیت همکاری بر اساس استانداردهای بین المللی برای ترکیه

عنوان انگلیسی
Generic land registry and cadastre data model supporting interoperability based on international standards for Turkey
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
94727 2017 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Land Use Policy, Volume 68, November 2017, Pages 59-71

پیش نمایش مقاله
پیش نمایش مقاله  مدل داده های عمومی و کاداستر پشتیبانی از قابلیت همکاری بر اساس استانداردهای بین المللی برای ترکیه

چکیده انگلیسی

On the other hand, studies of a new e-government project called Turkish National GIS (TUCBS in Turkish) was initiated to establish a national geographic data infrastructure (GDI) which allows efficient management of geographic data and corresponds to national-level user requirements and Infrastructure for Spatial Information in Europe (INSPIRE) specifications. In this study, to provide data interoperability among different institutions and meet stakeholder needs, the data model of the Land Registry and Cadastre Data Theme is examined and improved. Within the design process, the ISO 19152 Land Administration Domain Model (LADM) and INSPIRE Cadastral Parcels are examined and applied as the baseline international standards. In addition, main land and land group parcel types in the Turkish cadastral system, the main rights, restrictions and responsibilities related to land in the Turkish registration system, mortgages established over rights, cadastral maps, standard subdivision of two-dimensional (2D) space with special names, surveyed point and monumentation types were explained briefly within the revised land registry and cadastre data model. As a case study, data sets from different sources were transformed to open data sets compatible with the model. This model enables data interoperability in land-related applications. However, models should be kept as simple as possible for effective data transformation and management.