Isomorphic Ontology Hierarchy Based Semantic Complexity Measurement for Enterprise Systems
Mingxin Gan · Journal of Intelligence · 2011
Complexity in enterprise information systems development is largely determined by the semantic complexity of business model.The critical point of controlling semantic complexity is to build an effective model measuring complexity.An isomorphic ontology hierarchy is constructed in this paper with its formalization method.Based on the hierarchy,definition of semantic complexity is shown and a model is described in detail for semantic complexity measurement.The system built on the hierarchy is compared and analyzed with the system built by convergent architecture methodology from the semantic complexity point of view.Result shows,the constructing process for enterprise system by isomorphic ontology hierarchy is with the lowest semantic complexity and also the semantic complexity in the system remains the same during the developing process,thus proves isomorphic ontology hierarchy is likely to be the optimal structure of enterprise systems modeling.The research provides theoretical guidance to the development and modeling for enterprise systems.