On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries

Maria Esther Vidal*, Simón Castillo, Maribel Acosta, Gabriela Montoya, Guillermo Palma

*Corresponding author

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)
Original languageEnglish
Title of host publicationTransactions on Large-Scale Data- and Knowledge-Centered Systems XXV
EditorsAbdelkader Hameurlain, Josef Küng, Roland Wagner
Number of pages41
PublisherSpringer
Publication date1 Jan 2016
Pages109-149
ISBN (Print)9783662495339
ISBN (Electronic)978-3-662-49534-6
DOIs
Publication statusPublished - 1 Jan 2016
EventInternational Conference on Transactions on Large-Scale Data- and Knowledge-Centered Systems, TLDKS 2016 - Porto, Portugal
Duration: 1 Jan 2016 → …

Conference

ConferenceInternational Conference on Transactions on Large-Scale Data- and Knowledge-Centered Systems, TLDKS 2016
CountryPortugal
CityPorto
Period01/01/2016 → …
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9620
ISSN0302-9743

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Cite this

Vidal, M. E., Castillo, S., Acosta, M., Montoya, G., & Palma, G. (2016). On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries. In A. Hameurlain, J. Küng, & R. Wagner (Eds.), Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV (pp. 109-149). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.. 9620 https://doi.org/10.1007/978-3-662-49534-6_4
Vidal, Maria Esther ; Castillo, Simón ; Acosta, Maribel ; Montoya, Gabriela ; Palma, Guillermo. / On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV. editor / Abdelkader Hameurlain ; Josef Küng ; Roland Wagner. Springer, 2016. pp. 109-149 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 9620).
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Vidal, ME, Castillo, S, Acosta, M, Montoya, G & Palma, G 2016, On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries. in A Hameurlain, J Küng & R Wagner (eds), Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9620, pp. 109-149, International Conference on Transactions on Large-Scale Data- and Knowledge-Centered Systems, TLDKS 2016, Porto, Portugal, 01/01/2016. https://doi.org/10.1007/978-3-662-49534-6_4

On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries. / Vidal, Maria Esther; Castillo, Simón; Acosta, Maribel; Montoya, Gabriela; Palma, Guillermo.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV. ed. / Abdelkader Hameurlain; Josef Küng; Roland Wagner. Springer, 2016. p. 109-149 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 9620).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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T1 - On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries

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AU - Montoya, Gabriela

AU - Palma, Guillermo

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SN - 9783662495339

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV

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Vidal ME, Castillo S, Acosta M, Montoya G, Palma G. On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries. In Hameurlain A, Küng J, Wagner R, editors, Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV. Springer. 2016. p. 109-149. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 9620). https://doi.org/10.1007/978-3-662-49534-6_4