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In this study, we attempted to quantitatively determine the characteristics of keyword networks in the cadastre field using major contents of research drawn from international academic papers. Furthermore, we investigated the macroscopic evolution of cadastral research and examined its keyword network in detail (at a global scale) using semantic analysis. The analysis was carried out based on cadastral-research-related publications extracted from "Scopus" for 1987 to 2019. It was found that cadastre research has closely followed the recent trend of a growing interest in research on geospatial information and standardization. The results showed the advancement of technology innovation within the field of cadastres, as highlighted in the combination of relevant keywords (mostly from those related to spatial information technology and participation of civilians). These new issues are expected to drive the evolution of the academic scope in the future through synthesis with other fields for smart land management policy.Land 2020, 9, 50 4 of 19 well as performing a cluster analysis. The characteristics of each network group were also analyzed. As a result, the total number of network links was 2387, the density was 0.108, the average degree was 16, and the average distance was 1907. These attribute analysis values represent keywords on the network and help quantify and interpret the relationship between major keywords.

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