This paper presents the concept of hybrid semantic-document models to aid information management when using standards for complex technical domains such as military data communication. These standards are traditionally text based documents for human interpretation, but prose sections can often be ambiguous and can lead to discrepancies and subsequent implementation problems. Many organisations will produce semantic representations of the material to ensure common understanding and to exploit computer aided development. In developing these semantic representations, no relationship is maintained to the original prose. Maintaining relationships between the original prose and the semantic model has key benefits, including assessing conformance at a semantic level rather than prose, and enabling original content authors to explicitly define their intentions, thus reducing ambiguity and facilitating computer aided functionality. A framework of relationships is proposed which can integrate with common document modeling techniques and provide the necessary functionality to allow semantic content to be mapped into document views. These relationships are then generalised for applicability to a wider context.
Keywords: Semantic Modeling; Information Modeling; Aerospace; Defense; Quality
INTRODUCTIONIncreasingly the design of complex engineered products and systems (here within referred to as systems) are becoming more reliant on computer-supported models/representations of information, which can be used with computer checking algorithms to ensure consistency and correctness. Computer-supported models enable engineers to represent information graphically, which can aid understanding. These models also give a more rigorous definition of the systems requirements than that of the more ambiguous (open to interpretation) prose representation of the same information. Many system properties can be modeled, such as, behaviour, functionality, verification information, and manufacturing instructions.