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.
%0 Conference Paper
%1 CFPSS-AAAI-2014-dlnf
%A Calvanese, Diego
%A Fischl, Wolfgang
%A Pichler, Reinhard
%A Sallinger, Emanuel
%A Simkus, Mantas
%B Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI)
%D 2014
%I AAAI Press
%K RDFS data-dependencies myown optique-project
%P 1003-1011
%T Capturing Relational Schemas and Functional Dependencies in RDFS
%U http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8487
%X 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.
%@ 978-1-57735-661-5
@inproceedings{CFPSS-AAAI-2014-dlnf,
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.},
added-at = {2014-10-31T13:34:51.000+0100},
audience = {academic},
author = {Calvanese, Diego and Fischl, Wolfgang and Pichler, Reinhard and Sallinger, Emanuel and Simkus, Mantas},
biburl = {https://www.bibsonomy.org/bibtex/2ce2afe216ce5976e24fdc16e38833172/calvanese},
booktitle = {Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI)},
interhash = {e6c195607d2cc3b3783e750aa2e08f51},
intrahash = {ce2afe216ce5976e24fdc16e38833172},
isbn = {978-1-57735-661-5},
keywords = {RDFS data-dependencies myown optique-project},
pages = {1003-1011},
partneroptique = {FUB},
publisher = {AAAI Press},
timestamp = {2015-09-18T20:03:07.000+0200},
title = {Capturing Relational Schemas and Functional Dependencies in {RDFS}},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8487},
wpoptique = {WP6},
year = 2014,
yearoptique = {Y2}
}