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Semantic Interoperability through the Definition of Conceptual Model Transformations
Author(s) -
Staub Peter,
Gnägi Hans Rudolf,
Morf Andreas
Publication year - 2008
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/j.1467-9671.2008.01095.x
Subject(s) - interoperability , computer science , conceptual model , data mapping , geospatial analysis , data model (gis) , transformation (genetics) , conceptual schema , semantic interoperability , semantic mapping , data modeling , model transformation , data transformation , data integration , semantic heterogeneity , data mining , data science , information retrieval , software engineering , database , artificial intelligence , world wide web , semantic web , ontology based data integration , cartography , geography , data warehouse , consistency (knowledge bases) , chemistry , psychology , developmental psychology , biochemistry , gender schema theory , gene
The integration of distributed geospatial data is a great issue in GI Science. Hereby, the collection of data from different systems and different structures as well as across country borders is a problem. We explain a model‐based four‐step approach to conceptual data modelling. Within this approach, we introduce a methodology to map data models on the conceptual level without touching data formats. First, we developed a conceptual mapping language called “UMLT” which is the core of our approach. Furthermore, we integrated UMLT into the Model‐Driven Architecture where a conceptual model mapping is referred to as a platform independent model mapping. Finally, the data format transformation is deduced from the model mapping automatically. This represents the implementation mapping from a platform independent model to a platform specific model. Together with transformation operations for attribute mapping, this approach is a means for effective and enhanced semantic interoperability.