Data model development for 'buying and selling' transactions as a real estate acquisition method

摘要

There are many ways to acquire real estate in Turkey. The most common of them is 'buying and selling'. The real estate/immovable property 'buying and selling' is a legal transaction carried out by rural Land Registry Offices in the General Directorate of Land Registry and Cadastre (GDLRC). The transactions are conducted through Land Registry and Cadastre Information Systems (LRCIS). LRCIS in e-Turkey is going to enable the transactions to be carried out efficiently. Turkish National Geographical Information Systems (TNGIS) studies and many academic studies based on e-Turkey and LRCIS have been developed in harmony with UML diagrams based on the Land Administration Domain Model (LADM) to the ISO standard. Within this context, possible situations that may be encountered in an immovable 'buying and selling' have been evaluated and modelled. One of the most important findings is that all immovable 'buying and selling' transactions are still not conducted entirely via e-Turkey. The model designed will contribute to the inclusion of elements not managed through e-Turkey. Thus, the trading process may proceed faster and more accurately thanks to the study. Before the process, it is additionally recommended that the application, which is defined as staking out a plot of the land/independent unit from a map/layout plan, and the valuation report showing the market value of the real estate should be made obligatory. Thanks to this obligation, rights of the buyer and seller according to the Confidence Principle and State's Responsibility Principle of the land register can be secured. In addition, the real estate tax values can be collected on the basis of these values. It is recommended to all those involved that they work on the model proposed by the study which guarantees the geometric and legal boundaries and the market value of the real estate with the necessary documents and institutions. In this way interoperability among all institutions can be provided quickly, data duplication can be avoided, correct data access can be ensured, data security can be kept at a high level, and transactions can be completed in a shorter time than the classical method.