The recent deployments of semantic web tools and the expansion of available linked datasets have given users the opportunity of building increasingly complex applications. These emerging use cases often require queries containing mathematical formulas such as euclidean distances or unit conversions. Currently, the latest SPARQL standard (version 1.1) only embeds basic math operators. Thus, to address this shortcoming, some popular SPARQL evaluators provide built-in tools to cover specific needs; however, such tools are not standard yet. To offer users a more generic solution, we propose and share MINDS, a translator of mathematical expressions into SPARQL-compliant bindings which can be understood by any evaluator. MINDS thereby facilitates the query design whenever mathematical computations are needed in a SPARQL query.
%0 Conference Paper
%1 graux2020-minds
%A Graux, Damien
%A Sejdiu, Gezim
%A Stadler, Claus
%A Napolitano, Giulio
%A Lehmann, Jens
%B Semantic Systems. In the Era of Knowledge Graphs
%C Cham
%D 2020
%E Blomqvist, Eva
%E Groth, Paul
%E de Boer, Victor
%E Pellegrini, Tassilo
%E Alam, Mehwish
%E Käfer, Tobias
%E Kieseberg, Peter
%E Kirrane, Sabrina
%E Meroño-Peñuela, Albert
%E Pandit, Harshvardhan J.
%I Springer International Publishing
%K graux group_aksw lehmann mole stadler
%P 104--117
%T MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries
%U https://svn.aksw.org/papers/2020/semantics_minds/public.pdf
%X The recent deployments of semantic web tools and the expansion of available linked datasets have given users the opportunity of building increasingly complex applications. These emerging use cases often require queries containing mathematical formulas such as euclidean distances or unit conversions. Currently, the latest SPARQL standard (version 1.1) only embeds basic math operators. Thus, to address this shortcoming, some popular SPARQL evaluators provide built-in tools to cover specific needs; however, such tools are not standard yet. To offer users a more generic solution, we propose and share MINDS, a translator of mathematical expressions into SPARQL-compliant bindings which can be understood by any evaluator. MINDS thereby facilitates the query design whenever mathematical computations are needed in a SPARQL query.
%@ 978-3-030-59833-4
@inproceedings{graux2020-minds,
abstract = {The recent deployments of semantic web tools and the expansion of available linked datasets have given users the opportunity of building increasingly complex applications. These emerging use cases often require queries containing mathematical formulas such as euclidean distances or unit conversions. Currently, the latest SPARQL standard (version 1.1) only embeds basic math operators. Thus, to address this shortcoming, some popular SPARQL evaluators provide built-in tools to cover specific needs; however, such tools are not standard yet. To offer users a more generic solution, we propose and share MINDS, a translator of mathematical expressions into SPARQL-compliant bindings which can be understood by any evaluator. MINDS thereby facilitates the query design whenever mathematical computations are needed in a SPARQL query.},
added-at = {2024-11-01T19:16:08.000+0100},
address = {Cham},
author = {Graux, Damien and Sejdiu, Gezim and Stadler, Claus and Napolitano, Giulio and Lehmann, Jens},
biburl = {https://www.bibsonomy.org/bibtex/27ca2e748eb84276927629d40a0112844/aksw},
booktitle = {Semantic Systems. In the Era of Knowledge Graphs},
editor = {Blomqvist, Eva and Groth, Paul and de Boer, Victor and Pellegrini, Tassilo and Alam, Mehwish and K{\"a}fer, Tobias and Kieseberg, Peter and Kirrane, Sabrina and Mero{\~{n}}o-Pe{\~{n}}uela, Albert and Pandit, Harshvardhan J.},
interhash = {a0f283f7c7b5c8f20ab024f71731df53},
intrahash = {7ca2e748eb84276927629d40a0112844},
isbn = {978-3-030-59833-4},
keywords = {graux group_aksw lehmann mole stadler},
pages = {104--117},
publisher = {Springer International Publishing},
timestamp = {2024-11-01T19:16:08.000+0100},
title = {MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries},
url = {https://svn.aksw.org/papers/2020/semantics_minds/public.pdf},
year = 2020
}