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SEMWEB
2010
Springer

Fusion - Visually Exploring and Eliciting Relationships in Linked Data

9 years 7 days ago
Fusion - Visually Exploring and Eliciting Relationships in Linked Data
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 provi...
Samur Araújo, Geert-Jan Houben, Daniel Schw
Added 15 Feb 2011
Updated 15 Feb 2011
Type Journal
Year 2010
Where SEMWEB
Authors Samur Araújo, Geert-Jan Houben, Daniel Schwabe, Jan Hidders
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