LOD-a-lot: A Queryable Dump of the LOD Cloud

Javier David Fernandez Garcia; Wouter Beek; Miguel A. Martínez-Prieto; Mario Arias

doi:10.1007/978-3-319-68204-4_7

LOD-a-lot: A Queryable Dump of the LOD Cloud

Javier David Fernandez Garcia, Wouter Beek, Miguel A. Martínez-Prieto, Mario Arias

Vienna University of Economics and Business

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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Abstract

LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650 K datasets over a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or downloaded and consumed locally: LOD-a-lot is easy to deploy and demands affordable resources (524 GB of disk space and 15.7 GB of RAM), enabling Web-scale repeatable experimentation and research even by standard laptops.

Original language	English
Title of host publication	International Semantic Web Conference
Editors	D'Amato, C., Fernández, M., Tamma, V., Lecue, F., Cudré-Mauroux, P., Sequeda, J., Lange, C., Heflin, J.
Place of Publication	Vienna
Publisher	Springer International Publishing
Pages	75 - 83
ISBN (Print)	978-3-319-68204-4
DOIs	https://doi.org/10.1007/978-3-319-68204-4_7
Publication status	Published - 2017

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LODALot-ISWC17Accepted author manuscript, 789 KBLicence: Other

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University Library Catalogue

SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance
Kirrane, S., Drozd, O., Fernandez Garcia, J. D., Havur, G., Polleres, A. & Spiekermann-Hoff, S.
1/01/17 → 31/12/19
Project: Research funding

Cite this

Fernandez Garcia, J. D., Beek, W., Martínez-Prieto, M. A., & Arias, M. (2017). LOD-a-lot: A Queryable Dump of the LOD Cloud. In D'Amato, C., Fernández, M., Tamma, V., Lecue, F., Cudré-Mauroux, P., Sequeda, J., Lange, C., Heflin, J. (Ed.), International Semantic Web Conference (pp. 75 - 83). Springer International Publishing. https://doi.org/10.1007/978-3-319-68204-4_7

@inproceedings{c4c44fbafb054fb5bd55ecf73488bd80,

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abstract = "LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650 K datasets over a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or downloaded and consumed locally: LOD-a-lot is easy to deploy and demands affordable resources (524 GB of disk space and 15.7 GB of RAM), enabling Web-scale repeatable experimentation and research even by standard laptops.",

author = "{Fernandez Garcia}, {Javier David} and Wouter Beek and Mart{\'i}nez-Prieto, {Miguel A.} and Mario Arias",

year = "2017",

doi = "10.1007/978-3-319-68204-4_7",

language = "English",

isbn = "978-3-319-68204-4",

pages = "75 -- 83",

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booktitle = "International Semantic Web Conference",

publisher = "Springer International Publishing",

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LOD-a-lot: A Queryable Dump of the LOD Cloud. / Fernandez Garcia, Javier David; Beek, Wouter; Martínez-Prieto, Miguel A. et al.

International Semantic Web Conference. ed. / D'Amato, C., Fernández, M., Tamma, V., Lecue, F., Cudré-Mauroux, P., Sequeda, J., Lange, C., Heflin, J. Vienna : Springer International Publishing, 2017. p. 75 - 83.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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T1 - LOD-a-lot: A Queryable Dump of the LOD Cloud

AU - Fernandez Garcia, Javier David

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AU - Martínez-Prieto, Miguel A.

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AB - LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650 K datasets over a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or downloaded and consumed locally: LOD-a-lot is easy to deploy and demands affordable resources (524 GB of disk space and 15.7 GB of RAM), enabling Web-scale repeatable experimentation and research even by standard laptops.

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EP - 83

BT - International Semantic Web Conference

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PB - Springer International Publishing

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LOD-a-lot: A Queryable Dump of the LOD Cloud

Abstract

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Projects

SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance

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