A Translational Web Services Bridge for Meaningful Interoperability Among Information Systems

An emerging issue in the world of context-centric software-based decision-support is the need for potentially disparate systems to interoperate in meaningful and useful ways. Such interoperability must go beyond the elementary communication of data and endeavor to support a more powerful context-oriented inter-system relationship. A key issue in such functionality is the support, moreover the promotion, of meaningful interoperability while still retaining individual system representations, or perspectives. In other words, the meaningful integration of potentially disparate systems in a manner that allows each collaborating system to retain its potentially unique means of representing, or perceiving, the domain over which it operates. In the past, several approaches to this problem have been postulated, such as development of a specific translator for each source/target system pair combination, development of a universal ontology to encompass both systems, and so on. Specific, one-off translators are usually tightly coupled with both systems and have limited support for dealing with representational changes. The alternate approach of developing a universal representation is not only highly impractical but also requires an ongoing effort of monumental proportions to achieve even a remotely acceptable solution. Considering the potential complexity inherent in mapping between possibly disparate perspectives it is the opinion of the authors that a suitable solution will require the employment of reasoning-enabling technologies capable of supporting the high level analysis involved in performing such context-based translation.