Extending document models to incorporate semantic information for complex standards
journal contributionposted on 19.08.2013 by Darren Clowes, Ray Dawson, Stephen Probets
Any type of content formally published in an academic journal, usually following a peer-review process.
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.
- Computer Science