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- 8 creator audun-vennesland.
- 8 type InProceedings.
- 8 label "8".
- 8 sameAs 8.
- 8 abstract "Ontology matching is the process of finding correspondence between heterogeneous ontologies and consequently support semantic interoperability between different information systems. Using contextual information relative to the ontologies being matched is referred to as context-based ontology matching and is considered one promising direction of improving the matching performance. This PhD investigates how such contextual information can be best put to use, which sources of context yield the most promising results, and how such application impacts on the performance of ontology matching operations. As a part of this work we have investigated how international eDocument standards in the transport logistics domain can provide useful context when matching domain ontologies for this particular domain. The rationale is that such standards are developed in close collaboration between standards developing organizations and industry representatives and should contain useful and valid domain expertise that should lend itself well to be used as background knowledge in context-based ontology matching. A method for transforming from the standards to an ontology has been developed. Using this method an ontology from the Universal Business Language standard has been created from the XSD schemas representing UBL eDocument standards. This ontology constitutes background knowledge that can support the ontology matching operation. Furthermore, a reference alignment between two transport logistics ontologies has been developed in order to evaluate how this ontology impacts on the ontology matching process. Early evaluation tests suggest that the current version of the UBL ontology does not impact on the matching results and that further refinement of the transformation method is needed. The next steps include to run more elaborate evaluations to see how the background knowledge ontology actually influence on the ontology matching of these two ontologies and perform the required reconfiguration of the methods already developed.".
- 8 hasAuthorList authorList.
- 8 title "eDocument Standards as Background Knowledge in Context-Based Ontology Matching".