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Proceedings of the 11th international conference on World Wide Web
Views for light-weight Web ontologies
Proceedings of the 2003 ACM symposium on Applied computing
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ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Processing Ontology Alignments with SPARQL
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
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Web Semantics: Science, Services and Agents on the World Wide Web
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OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
A software tool for visualizing, managing and eliciting SWRL rules
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Interactive relationship discovery via the semantic web
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Connecting the dots: a multi-pivot approach to data exploration
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
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Building applications over Linked Data often requires a mapping between the application model and the ontology underlying the source dataset in the Linked Data cloud. This mapping can be defined in many ways. For instance, by describing the application model as a view over the source dataset, by giving mappings in the form of dependencies between the two datasets, or by inference rules that infer the application model from the source dataset. Explicitly formulating these mappings demands a comprehensive understanding of the underlying schemas (RDF ontologies) of the source and target datasets. This task can be supported by integrating the process of schema exploration into the mapping process and help the application designer with finding the implicit relationships that she wants to map. This paper describes Fusion - a framework for closing the gap between the application model and the underlying ontologies in the Linked Data cloud. Fusion simplifies the definition of mappings by providing a visual user interface that integrates the exploratory process and the mapping process. Its architecture allows the creation of new applications through the extension of existing Linked Data with additional data.