An Adaptive Land Tenure Information System Database Design for Conflict and Post-Conflict Situations
Abstract
The key objective of this study was to design, develop, and test a schema-less graph network Land Tenure Information System (LTIS) database prototype that is integrated with data mining and social network analysis techniques for the purpose of revealing hidden tenure information in the data related to conflict and post-conflict situations. Conventional LTISs are ineffective in conflict and post-conflict situations because they only describe recorded tenure information, and therefore these systems are not reflective of land practices taking place on the ground. In conflict and post-conflict situations, multiple sets of state held and privately held land tenure records may exist. The question then is how can LTISs be better designed to capture and describe tenure information in conflict and post-conflict situations. The study adapts a spiral software development model to develop a Talking Titler Network (TTN) database prototype. Simulated tenure data from two illustrative cases was entered and automatically mined and analysed within the database system. The results show that a schema-less graph network database integrated with data mining and social network analysis techniques can capture and describe complex land tenure information among and between people and tenure objects. In addition, the integrated techniques automatically extract, investigate, and visualise embedded tenure information emerging from these situations. The experimental test results provide important empirical observations to advance the TTN database design and development in order to assist in supporting land tenure dispute resolution for conflict and post-conflict situations. However, further field work needs to be carried out to validate the results.
Description
Keywords
Information Science, Education--Social Sciences, Sociology--Theory and Methods, Artificial Intelligence, Computer Science, Engineering, Psychology--Social
Citation
Dabboor, A. (2017). An Adaptive Land Tenure Information System Database Design for Conflict and Post-Conflict Situations (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/24805