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Open AccessArticle

Applying Text Mining for Identifying Future Signals of Land Administration

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Finnish Geospatial Research Institute, National Land Survey of Finland, Geodeetinrinne 2, FI-02430 Masala, Finland
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Department of Built Environment, Aalto University School of Engineering, P.O. Box 12200 Aalto, FI-02150 Espoo, Finland
*
Author to whom correspondence should be addressed.
Land 2019, 8(12), 181; https://doi.org/10.3390/land8120181
Received: 5 November 2019 / Revised: 19 November 2019 / Accepted: 25 November 2019 / Published: 27 November 2019
Companies and governmental agencies are increasingly seeking ways to explore emerging trends and issues that have the potential to shape up their future operational environments. This paper exploits text mining techniques for investigating future signals of the land administration sector. After a careful review of previous literature on the detection of future signals through text mining, we propose the use of topic models to enhance the interpretation of future signals. Findings of the study highlight the large spectrum of issues related to land interests and their recording, as nineteen future signal topics ranging from climate change mitigation and the use of satellite imagery for data collection to flexible standardization and participatory land consolidations are identified. Our analysis also shows that distinguishing weak signals from latent, well-known, and strong signals is challenging when using a predominantly automated process. Overall, this study summarizes the current discourses of the land administration domain and gives an indication of which topics are gaining momentum at present. View Full-Text
Keywords: land administration; cadastral systems; future signal; text mining; topic modeling land administration; cadastral systems; future signal; text mining; topic modeling
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Krigsholm, P.; Riekkinen, K. Applying Text Mining for Identifying Future Signals of Land Administration. Land 2019, 8, 181.

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