Binding UMM Business Documents to a Business Document Ontology
UN/CEFACT's modeling methodology (UMM) is used to develop business collaboration models independent of the IT-platform. The information being exchanged is modeled by class diagrams. It is expected that later on these class diagrams are mapped to business document standards. Since it is hard to...
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creator | Hofreiter, B. |
description | UN/CEFACT's modeling methodology (UMM) is used to develop business collaboration models independent of the IT-platform. The information being exchanged is modeled by class diagrams. It is expected that later on these class diagrams are mapped to business document standards. Since it is hard to predict which standards will be dominant in the future, we do not propose direct mappings from UMM business information class diagrams to the specific business document languages. Instead we propose an ontology layer to represent the information identified in UMM. This ontology layer is based on UN/CEFACT'score components. For this purpose we have developed an RDFS schema (RDFS) for the core components meta model. Furthermore, we define a mapping from the UMM class diagram to the core component RDFS. |
doi_str_mv | 10.1109/DEST.2007.372048 |
format | Conference Proceeding |
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The information being exchanged is modeled by class diagrams. It is expected that later on these class diagrams are mapped to business document standards. Since it is hard to predict which standards will be dominant in the future, we do not propose direct mappings from UMM business information class diagrams to the specific business document languages. Instead we propose an ontology layer to represent the information identified in UMM. This ontology layer is based on UN/CEFACT'score components. For this purpose we have developed an RDFS schema (RDFS) for the core components meta model. Furthermore, we define a mapping from the UMM class diagram to the core component RDFS.</abstract><pub>IEEE</pub><doi>10.1109/DEST.2007.372048</doi><tpages>6</tpages></addata></record> |
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subjects | Artificial intelligence Australia Computer science Data structures Ecosystems International collaboration Knowledge representation Ontologies Resource description framework Semantic Web |
title | Binding UMM Business Documents to a Business Document Ontology |
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