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Record link: 
http://hdl.handle.net/20.500.12708/55903
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Title: 
Expressive Identification Constraints to Capture Functional Dependencies in Description Logics
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Citation: 
Calvanese, D., Fischl, W., Pichler, R., Sallinger, E., & Simkus, M. (2014). Expressive Identification Constraints to Capture Functional Dependencies in Description Logics. In Informal Proceedings of the 27th International Workshop on Description Logics (DL 2014) (p. 5). CEUR-WS. http://hdl.handle.net/20.500.12708/55903
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Publication Type: 
Inproceedings - Poster Contribution
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Authors: 
Calvanese, Diego 
Fischl, Wolfgang 
Pichler, Reinhard 
Sallinger, Emanuel 
Simkus, Mantas 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Published in: 
Informal Proceedings of the 27th International Workshop on Description Logics (DL 2014) 
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Date (published): 
2014
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Event name: 
27th International Workshop on Description Logics 
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Event date: 
17-Jul-2014 - 20-Jul-2014
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Event place: 
Vienna, Austria, Austria
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Number of Pages: 
5
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Publisher: 
CEUR-WS, Vol-1193
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Peer reviewed: 
Yes
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Keywords: 
identification constraints; functional dependencies; normal forms
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Abstract: 
Mapping relational data to RDF is an important task for the development of the Semantic Web. To this end, the W3C has recently released a Recommendation for the so-called direct mapping of relational data to RDF. In this work, we propose an enrichment of the direct mapping to make it more faithful by transferring also semantic information present in the relational schema from the relational world to the RDF world. We thus introduce expressive identification constraints to capture functional dependencies and define an RDF Normal Form, which precisely captures the classical Boyce-Codd Normal Form of relational schemas.
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Project title: 
SEE: SPARQL Evaluation and Extensions (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
Heterogenous Information Integration: P25207-N23 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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