It is a truism that the amount of information being generated in the modern digital world is increasing at an exponential rate. This is influencing engineering as it is in other forms of business, as well as everyday life. Engineering has a significant visual dimension to it: drawings, diagrams, sketches, photographs, graphs are the everyday language of the engineer. Despite the prevalence of such visual information, the role that such information plays and how it affects, for example, how documents can be reused is an under-researched area. This thesis thus proposes the important role of visual representations and images for supporting informed decisions, in particular for complex domains such as Engineering Design. The particular context for this research is associated with in-service design knowledge and information requirements. The increasing number of actual products in-service, the requirement to create safe design solutions quickly, the amassment of service data and the importance of product services to organisational competitiveness are all increasing the information pressures upon Design teams. The pervasive nature of visual representations in Engineering Design and prevalent document information suggests that they are an important asset within document information resources. This research focusses upon the purpose of Engineering Design image utilisation for information processing, and hence supporting efficient decision making.

Some of the additional challenges identified throughout this research are the immaturity of current image recognition technologies and thus limitations of automated media extraction tools for supporting Design Engineers. This is significantly contributed to by the complexity of the information media and formats that constitute design engineering information and the current knowledge management trend to capture information without clear “reuse” purpose.