Record link: 
http://hdl.handle.net/20.500.12708/54959
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Title: 
RDFS with attribute equations via SPARQL rewriting
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Citation: 
Bischof, S., & Polleres, A. (2013). RDFS with attribute equations via SPARQL rewriting. In P. Cimiano, O. Corcho, V. Presutti, L. Hollink, & S. Rudolph (Eds.), The Semantic Web: Semantics and Big Data (pp. 335–350). Springer LNCS. https://doi.org/10.1007/978-3-642-38288-8_23
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Publisher DOI: 
10.1007/978-3-642-38288-8_23
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Bischof, Stefan 
Polleres, Axel 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Published in: 
The Semantic Web: Semantics and Big Data 
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ISBN: 
978-3-642-38287-1
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Volume: 
7882
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DOI of the book: 
10.1007/978-3-642-38288-8
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Date (published): 
2013
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Event name: 
10th Extended Semantic Web Conference (ESWC 2013) 
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Event date: 
26-May-2013 - 30-May-2013
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Event place: 
Montpellier, France, EU
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Number of Pages: 
16
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Publisher: 
Springer LNCS, 7882
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Publisher: 
Springer
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Peer reviewed: 
Yes
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Abstract: 
In addition to taxonomic knowledge about concepts and properties typically expressible in languages such as RDFS and OWL, implicit information in an RDF graph may be likewise determined by arithmetic equations. The main use case here is exploiting knowledge about functional dependencies among numerical attributes expressible by means of such equations. While some of this knowledge can be encoded in rule extensions to ontology languages, we provide an arguably more flexible framework that treats attribute equations as first class citizens in the ontology language. The combination of ontological reasoning and attribute equations is realized by extending query rewriting techniques already successfully applied for ontology languages such as (the DL-Lite-fragment of) RDFS or OWL, respectively. We deploy this technique for rewriting SPARQL queries and discuss the feasibility of alternative implementations, such as rule-based approaches.
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Project title: 
SEE: SPARQL Evaluation and Extensions (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
Mathematik, Informatik
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Appears in Collections:
Conference Paper

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