Framework to Support the Representations of Semantic Mappings for a Hybrid Integration Strategy

Abstract

To provide an integrated information system for decision support, many previous studies focused on a strategy of sharing a common semantic model among heterogeneous data sources. Such a strategy has many advantages; however, it works only when it is possible for the heterogeneous data sources to share a common semantic model. For collaborating systems that cannot assume a prior knowledge of heterogeneity among them, a different strategy is needed. This paper, discussing a hybrid integration strategy and its applications to the architecture-engineering-construction industry, is focused on the development of a framework of semantic mappings so that high-level applications can use the mappings for data retrieval and processing. Based on a case study of integrating schedule and cost information, a prototype is developed to demonstrate the use of the framework, as well as to test the framework. Limitations and future studies are also discussed.