research-article

IDOL: Comprehensive & Complete LOD Insights

Authors:

Ciro Baron Neto,

Dimitris Kontokostas,

Amit Kirschenbaum,

Gustavo Correa Publio,

Sebastian HellmannAuthors Info & Claims

Semantics2017: Proceedings of the 13th International Conference on Semantic Systems

Pages 49 - 56

https://doi.org/10.1145/3132218.3132238

Published: 11 September 2017 Publication History

Abstract

Over the last decade, we observed a steadily increasing amount of RDF datasets made available on the web of data. The decentralized nature of the web, however, makes it hard to identify all these datasets. Even more so, when downloadable data distributions are discovered, only insufficient metadata is available to describe the datasets properly, thus posing barriers on its usefulness and reuse. In this paper, we describe an attempt to exhaustively identify the whole linked open data cloud by harvesting metadata from multiple sources, providing insights about duplicated data and the general quality of the available metadata. This was only possible by using a probabilistic data structure called Bloom filter. Finally, we published a dump file containing metadata which can further be used to enrich existent datasets.

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Cited By

Kopsachilis VVaitis M(2021)GeoLOD: A Spatial Linked Data Catalog and RecommenderBig Data and Cognitive Computing10.3390/bdcc50200175:2(17)Online publication date: 19-Apr-2021
https://doi.org/10.3390/bdcc5020017
Polleres AKamdar MFernández JTudorache TMusen M(2020)A more decentralized vision for Linked DataSemantic Web10.3233/SW-19038011:1(101-113)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/SW-190380
Debattista JAttard JBrennan RO'Sullivan D(2019)Is the LOD cloud at risk of becoming a museum for datasets? Looking ahead towards a fully collaborative and sustainable LOD cloudCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3317075(850-858)Online publication date: 13-May-2019
https://dl.acm.org/doi/10.1145/3308560.3317075
Show More Cited By

IDOL: Comprehensive & Complete LOD Insights
1. Theory of computation

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Published In

cover image ACM Other conferences

Semantics2017: Proceedings of the 13th International Conference on Semantic Systems

September 2017

202 pages

ISBN:9781450352963

DOI:10.1145/3132218

Editors:
Rinke Hoekstra
Elsevier B.V., Amsterdam, The Netherlands
,
Catherine Faron-Zucker
University of Nice Sophia Antipolis, France
,
Tassilo Pellegrini
University of Applied Sciences St. Poelten, Austria
,
Victor de Boer
Vrije Universiteit Amsterdam, The Netherlands

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

St. Pölten University: St. Pölten University of Applied Sciences, Austria
Wolters Kluwer: Wolters Kluwer, Germany
Vrije Universeit Amsterdam: Vrije Universeit Amsterdam
Semantic Web Company: Semantic Web Company
Uinv. Leipzig: Universität Leipzig

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 September 2017

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Semantics2017

Semantics2017: Semantics 2017 - 13th International Conference on Semantic Systems

September 11 - 14, 2017

Amsterdam, Netherlands

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Cited By

Kopsachilis VVaitis M(2021)GeoLOD: A Spatial Linked Data Catalog and RecommenderBig Data and Cognitive Computing10.3390/bdcc50200175:2(17)Online publication date: 19-Apr-2021
https://doi.org/10.3390/bdcc5020017
Polleres AKamdar MFernández JTudorache TMusen M(2020)A more decentralized vision for Linked DataSemantic Web10.3233/SW-19038011:1(101-113)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/SW-190380
Debattista JAttard JBrennan RO'Sullivan D(2019)Is the LOD cloud at risk of becoming a museum for datasets? Looking ahead towards a fully collaborative and sustainable LOD cloudCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3317075(850-858)Online publication date: 13-May-2019
https://dl.acm.org/doi/10.1145/3308560.3317075
Publio G(2018)SHARK: A Test-Driven Framework for Design and Evolution of OntologiesThe Semantic Web: ESWC 2018 Satellite Events10.1007/978-3-319-98192-5_50(314-324)Online publication date: 2-Aug-2018
https://doi.org/10.1007/978-3-319-98192-5_50

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