Weak or non-existing linkage of official registers in the Republic of Croatia and the data redundancy as an inevitable outcome of such a state are the causes of various unwanted consequences for the relevant public authorities, as well as for citizens and companies as the end-users of that data. In this paper we present the results of an analysis of the status of the redundancy within the Croatian land administration-related registers. Following the analysis, suggestions are given on how the effectiveness of the analyzed registers can be increased by introducing a linking based on the Land Administration Domain Model (LADM). The proposed linkages were created by extending the Unified Modelling Language (UML) object classes of the LADM. The compliance analysis between registers and the LADM was conducted by using schema matching. Schema matching is a set of techniques used for comparing schemas (usually referred to as data models), and is well known within the database research domain. The results of the analysis were used to determine in which direction to go with extending of the LADM. All of the outputs of this research can be used to create a strategy for improving the effectiveness of the overall system of registers, which in turn should result in an overall economic progress of the country.
Authors and Publishers
Land Use Policy is an international and interdisciplinary journal concerned with the social, economic, political, legal, physical and planning aspects of urban and rural land use. It provides a forum for the exchange of ideas and information from the diverse range of disciplines and interest groups which must be combined to formulate effective land use policies.
What is ScienceDirect
Elsevier’s leading platform of peer-reviewed scholarly literature.
University libraries and institutions offer ScienceDirect access to their communities of researchers.
Researchers, teachers, students, healthcare and information professionals use ScienceDirect to improve the way they search, discover, read, understand and share scholarly research.