We motivate and describe techniques that allow to detect an ``emergent'' relational schema from RDF data.
We show that on a wide variety of datasets, the found structure explains well over 90% of the RDF triples. Further, we
also describe technical solutions to the semantic challenge to give short names that humans find logical to these emergent
tables, columns and relationships between tables. Our techniques can be exploited in many ways, e.g., to improve the efficiency
of SPARQL systems, or to use existing SQL-based applications on top of any RDF dataset using a RDBMS.
%0 Conference Paper
%1 23379
%A Pham, M. D.
%A Linnea, P.
%A Erling, O.
%A Boncz, P. A.
%B Proceedings of International World Wide Web Conference 2015 (WWW 0)
%D 2015
%K ldbc-self myown
%P -
%T Deriving An Emergent Relational Schema From RDF Data
%X We motivate and describe techniques that allow to detect an ``emergent'' relational schema from RDF data.
We show that on a wide variety of datasets, the found structure explains well over 90% of the RDF triples. Further, we
also describe technical solutions to the semantic challenge to give short names that humans find logical to these emergent
tables, columns and relationships between tables. Our techniques can be exploited in many ways, e.g., to improve the efficiency
of SPARQL systems, or to use existing SQL-based applications on top of any RDF dataset using a RDBMS.
@inproceedings{23379,
abstract = {We motivate and describe techniques that allow to detect an ``emergent'' relational schema from RDF data.
We show that on a wide variety of datasets, the found structure explains well over 90% of the RDF triples. Further, we
also describe technical solutions to the semantic challenge to give short names that humans find logical to these emergent
tables, columns and relationships between tables. Our techniques can be exploited in many ways, e.g., to improve the efficiency
of SPARQL systems, or to use existing SQL-based applications on top of any RDF dataset using a RDBMS.
},
added-at = {2015-04-20T00:04:39.000+0200},
author = {Pham, M. D. and Linnea, P. and Erling, O. and Boncz, P. A.},
biburl = {https://www.bibsonomy.org/bibtex/20d30ef1103c8aa24c600ac54576b9d57/peterboncz},
booktitle = {Proceedings of International World Wide Web Conference 2015 (WWW 0)},
conferencedate = {2015},
conferencetitle = {International World Wide Web Conference},
group = {DA},
interhash = {de6cf03ce44014a0d0d2ee97dac51e43},
intrahash = {0d30ef1103c8aa24c600ac54576b9d57},
keywords = {ldbc-self myown},
language = {en},
pages = { - },
refereed = {y},
size = {1p.},
timestamp = {2015-04-20T00:04:39.000+0200},
title = {Deriving {An} {Emergent} {Relational} {Schema} {From} {R{DF}} {Data}},
year = 2015
}