Data Modelling

Data Modelling

Simplifying the Complexities of the Real World: The Role of Data Models in Geographic Information Science

Given the complexity of the real world and the diverse perspectives from which it can be interpreted, geographic information scientists must simplify this complexity. To achieve a simplified representation, 'data models' are employed. A data model is an abstract framework that organizes the description of data, its semantics, and the consistency constraints. It focuses on identifying the necessary data and determining how it should be structured. Essentially, a data model addresses questions such as: "How do you perceive the real world?", "Which real-world objects and their properties are you interested in?", and "How do you describe these real-world objects?"

KabArt specializes in data modeling and seamlessly incorporates international standards into its practices. Notably, KabArt has successfully implemented the DGIWG defense data model, utilized by organizations such as NATO. Using KabArt's tools, creating sub-models for various products based on DGIWG standards is straightforward and automated. This process involves inputting the data model in UML or XML format, extracting model details, and storing them in a database. Through a user-friendly web-based application, administrators can select features, attributes, and domain values to create customized data models for specific projects. If necessary, administrators can also augment existing models with additional feature classes or attributes. Once created, the logical model transitions into a physical model, stored in various formats including gdb. Moreover, KabArt's expertise extends to creating sub-models for diverse products, providing agencies with comprehensive solutions.

Alongside its proficiency in utilizing established standards, KabArt possesses the capability to develop a data model from the ground up, tailored to specific requirements and in alignment with international standards.