Migrating data-intensive web sites into the Semantic Web
Proceedings of the 2002 ACM symposium on Applied computing
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
MAFRA - A MApping FRAmework for Distributed Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Representing and reasoning about mappings between domain models
Eighteenth national conference on Artificial intelligence
Ontology mapping: the state of the art
The Knowledge Engineering Review
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
ESpotter: adaptive named entity recognition for web browsing
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Advanced ontology management system for personalised e-Learning
Knowledge-Based Systems
An infrastructure for semantic web portals
Journal of Web Engineering
An infrastructure for acquiring high quality semantic metadata
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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Semantic data transformation plays an important role in realizing the vision of the semantic web. It supports the transformation of data in different representations into ontologies. In order to allow the task to be achieved effectively, the instructions on how to realize transformation should be well specified, preferably in a declarative and re-usable format, thus allowing the construction of robust tools which on the one hand assist users to generate and maintain mappings at design time and on the other hand perform semantic data transformation at run time. Furthermore, the transformation instructions should not only allow the generation of semantic data objects but also allow the creation of rich semantic relations between them. In this context, we developed a comprehensive instance mapping ontology. One distinctive feature of the instance mapping ontology is that it provides comprehensive support for the specification of complex mappings. Another feature is that the instance mapping ontology is representation independent, which does not limit itself to data sources in particular representations. This ontology has been applied in generating a semantic layer for the web site of the Knowledge Media Institute (KMi) at the Open University.