Publishing the Norwegian Petroleum Directorate's FactPages as Semantic Web Data
Skjæveland, M. G.; Lian, E. H.; and Horrocks, I.
In Alani, H.; Kagal, L.; Fokoue, A.; Groth, P.; Biemann, C.; Parreira, J.; Aroyo, L.; Noy, N.; Welty, C.; and Janowicz, K., editor,
The Semantic Web -- ISWC 2013, volume 8219, of
LNCS, pages 162-177, 2013. Springer Berlin Heidelberg
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@inproceedings{ SkLiHo-ISWC2013,
abstract = {This paper motivates, documents and evaluates the
process and results of converting the Norwegian
Petroleum Directorate's FactPages, a well-known and
diverse set of tabular data, but with little and
incomplete schema information, stepwise into other
representations where in each step more semantics is
added to the dataset. The different representations
we consider are a regular relational database, a
linked open data dataset, and an ontology. For each
conversion step we explain and discuss necessary
design choices which are due to the specific shape
of the dataset, but also those due to the
characteristics and idiosyncrasies of the
representation formats. We additionally evaluate the
output, performance and cost of querying the
different formats using questions provided by users
of the FactPages.},
added-at = {2014-05-29T12:40:10.000+0200},
audience = {academic},
author = {Skj{æ}veland, Martin G. and Lian, Espen H. and Horrocks, Ian},
biburl = {http://www.bibsonomy.org/bibtex/29d002eaea90a4c8b56c2e628b6e838b3/martige},
booktitle = {The Semantic Web -- ISWC 2013},
editor = {Alani, Harith and Kagal, Lalana and Fokoue, Achille and Groth, Paul and Biemann, Chris and Parreira, JosianeXavier and Aroyo, Lora and Noy, Natasha and Welty, Chris and Janowicz, Krzysztof},
interhash = {96e5e9f2a9e35a9816a300c14d309e36},
intrahash = {9d002eaea90a4c8b56c2e628b6e838b3},
keywords = {optique-project},
pages = {162-177},
partneroptique = {UiO},
publisher = {Springer Berlin Heidelberg},
series = {LNCS},
title = {{Publishing the Norwegian Petroleum Directorate's
FactPages as Semantic Web Data}},
volume = {8219},
wpoptique = {WP10},
year = {2013},
yearoptique = {Y1}
}
This paper motivates, documents and evaluates the process and results of converting the Norwegian Petroleum Directorate's FactPages, a well-known and diverse set of tabular data, but with little and incomplete schema information, stepwise into other representations where in each step more semantics is added to the dataset. The different representations we consider are a regular relational database, a linked open data dataset, and an ontology. For each conversion step we explain and discuss necessary design choices which are due to the specific shape of the dataset, but also those due to the characteristics and idiosyncrasies of the representation formats. We additionally evaluate the output, performance and cost of querying the different formats using questions provided by users of the FactPages.