Where is My URI?

Andre Valdestilhas, Tommaso Soru, Markus Nentwig, Edgard Marx, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

One of the Semantic Web foundations is the possibility to dereference URIs to let applications negotiate their semantic content. However, this exploitation is often infeasible as the availability of such information depends on the reliability of networks, services, and human factors. Moreover, it has been shown that around 90% of the information published as Linked Open Data is available as data dumps and more than 60% of endpoints are offline. To this end, we propose a Web service called Where is my URI?. Our service aims at indexing URIs and their use in order to let Linked Data consumers find the respective RDF data source, in case such information cannot be retrieved from the URI alone. We rank the corresponding datasets by following the rationale upon which a dataset contributes to the definition of a URI proportionally to the number of literals. We finally describe potential use-cases of applications that can immediately benefit from our simple yet useful service.
Original languageEnglish
Title of host publicationThe Semantic Web - 15th International Conference, ESWC 2018, Proceedings
EditorsA. Gangemi, R. Troncy, R. Navigli, L. Hollink, M. Vidal, P. Hitzler, A. Tordai, M. Alam
PublisherSpringer Verlag
Pages671-681
ISBN (Print)9783319934167
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event15th International Conference on Extended Semantic Web Conference, ESWC 2018 - Heraklion, Greece
Duration: 3 Jun 20187 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Extended Semantic Web Conference, ESWC 2018
Country/TerritoryGreece
CityHeraklion
Period3/06/187/06/18

Funding

Acknowledgments. This research has been partially supported by CNPq Brazil under grants No. 201536/2014-5 and H2020 projects SLIPO (GA no. 731581) and HOBBIT (GA no. 688227) as well as the DFG project LinkingLOD (project no. NG 105/3-2), the BMWI Projects SAKE (project no. 01MD15006E) and GEISER (project no. 01MD16014E). Thanks to special help from Ivan Ermilov and Diego Moussallem.

FundersFunder number
GEISER01MD16014E
Horizon 2020 Framework Programme688227, 731581
Deutsche ForschungsgemeinschaftNG 105/3-2
Bundesministerium für Wirtschaft und Technologie01MD15006E
Conselho Nacional de Desenvolvimento Científico e Tecnológico201536/2014-5

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