冲突和冲突后土地权属信息系统(LTIS)网络数据库设计

IF 0.3 Q4 REMOTE SENSING
Alaa Dabboor, M. Barry
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引用次数: 1

摘要

本文介绍了Talking Titler Network(TTN)数据库的设计,用于冲突和冲突后的土地记录。在冲突和冲突后局势中,流离失所者、证人和目前占领流离失所者曾经拥有的土地的人的利益往往很难解开,传统的土地记录数据模型在处理这些复杂局势的数据类型和范围方面往往受到限制。一种解决方案是数据库设计,它可以在不断变化的环境中捕获多个重叠和分层的保有权关系,这些关系对于关系数据模型来说太复杂了,无法处理。利用三层存储图数据库开发系统及其本体语言设计开发了TTN原型。作者从加沙地带(一个持续的冲突局势)和索马里兰(一个冲突后局势)的观察被用作例证。测试结果表明,图形数据库能够灵活地捕捉、描述和自动揭示任期模式。TTN简化了对象之间保有权关系的复杂性,将它们组织成一组连接的三元组,揭示保有权关系,并将保有权信息可视化为图形网络和表格。该设计显示了捕捉复杂、有争议的保有权关系的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network database design for conflict and post-conflict Land Tenure Information Systems (LTIS)
The paper presents the Talking Titler Network (TTN) database design, for conflict and post-conflict land records. In conflict and post-conflict situations, the constellation of interests from displaced persons, witnesses, and people who currently occupy the land that displaced persons once owned are often difficult to unravel, and conventional land record data models are often restricted in the type and scope of data to handle these complex situations. One solution is a database design that can capture multiple, overlapping and layered tenure relationships in a changing environment that are too complex for the relational data model to handle. The Triple Store graph database development system and its ontology languages were used to design and develop the TTN prototype. The authors’ observations from the Gaza Strip, an ongoing conflict situation, and Somaliland, a post-conflict situation, were used as illustrative contexts. The test results show that graph database flexibly captured, described, and automatically revealed tenure patterns. TTN simplified the complexity of tenure relationships among objects by organizing them into sets of connected triples, revealing tenure relationships, and visualizing tenure information as a graph network, and as a table. The design shows promise in capturing complex, contested tenure relationships.
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