Research: Data modelling

Data modelling: designing the shape of future information

To conceptualise what the Ordnance Survey data of the future may be like.

Overview

With the release of OS MasterMap^® users are starting to become more aware of the potential for our current topographic/spatial data. Ordnance Survey needs to be proactive in anticipating future user needs. Better ways of modelling the real world to reflect user requirements are needed.
There is already a need for better data models that can be more effectively used to create future products. Particularly desirable are: height; the third dimension; a temporal dimension; extents; and an enhanced integrated transport network.

What problem is being addressed?

What are the features that need to be considered for modelling the diverse aspects of the real world? What are the theoretical data models that allow the identified features to be modelled effectively? What are the practical issues involved with the use of the data models to handle live data? What generic data framework could encompass the full range of features?
By investigating and developing models of how Ordnance Survey data may develop, there will be more awareness of opportunities to maximise the use and usefulness of Ordnance Survey data.

What is our solution/approach?

Developing advanced data models to represent the real world in ways that better meet the needs of the end user. Applying the models within the research environment to investigate their practicality and demonstrate their content to the business. Provide the models as a platform for other research work.

What is the impact of the research?

Our research is aimed at initiating new uses for Ordnance Survey data and new representations of the real world. We look towards data of the future from prospective layers in OS MasterMap to entirely new data structures.

Current Projects

• Architecture
• Fuzzy and uncertain features