FAIR Linked Data - Towards a Linked Data Backbone for Users and Machines
J. Frey, and S. Hellmann. Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, page 431--435. ACM / IW3C2, (2021)
DOI: 10.1145/3442442.3451364
Abstract
Although many FAIR principles could be fulfilled by 5-star LinkedOpen Data, the successful realization of FAIR poses a multitudeof challenges. FAIR publishing and retrieval of Linked Data is stillrather a FAIRytale than reality, for users and machines. In thispaper, we give an overview on four major approaches that tackleindividual challenges of FAIR data and present our vision of a FAIRLinked Data backbone. We propose 1) DBpedia Databus - a flex-ible, heavily automatizable dataset management and publishingplatform based on DataID metadata; that is extended by 2) thenovel Databus Mods architecture which allows for flexible, uni-fied, community-specific metadata extensions and (search) overlaysystems; 3) DBpedia Archivo an archiving solution for unified han-dling and improvement of FAIRness for ontologies on publisher andconsumer side; as well as 4) the DBpedia Global ID managementand lookup services to cluster and discover equivalent entities andproperties.
%0 Conference Paper
%1 freyfair
%A Frey, Johannes
%A Hellmann, Sebastian
%B Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
%D 2021
%E Leskovec, Jure
%E Grobelnik, Marko
%E Najork, Marc
%E Tang, Jie
%E Zia, Leila
%I ACM / IW3C2
%K frey group_aksw hellmann kilt
%P 431--435
%R 10.1145/3442442.3451364
%T FAIR Linked Data - Towards a Linked Data Backbone for Users and Machines
%U https://svn.aksw.org/papers/2021/sci-k_fair-linked-data/public.pdf
%X Although many FAIR principles could be fulfilled by 5-star LinkedOpen Data, the successful realization of FAIR poses a multitudeof challenges. FAIR publishing and retrieval of Linked Data is stillrather a FAIRytale than reality, for users and machines. In thispaper, we give an overview on four major approaches that tackleindividual challenges of FAIR data and present our vision of a FAIRLinked Data backbone. We propose 1) DBpedia Databus - a flex-ible, heavily automatizable dataset management and publishingplatform based on DataID metadata; that is extended by 2) thenovel Databus Mods architecture which allows for flexible, uni-fied, community-specific metadata extensions and (search) overlaysystems; 3) DBpedia Archivo an archiving solution for unified han-dling and improvement of FAIRness for ontologies on publisher andconsumer side; as well as 4) the DBpedia Global ID managementand lookup services to cluster and discover equivalent entities andproperties.
@inproceedings{freyfair,
abstract = {Although many FAIR principles could be fulfilled by 5-star LinkedOpen Data, the successful realization of FAIR poses a multitudeof challenges. FAIR publishing and retrieval of Linked Data is stillrather a FAIRytale than reality, for users and machines. In thispaper, we give an overview on four major approaches that tackleindividual challenges of FAIR data and present our vision of a FAIRLinked Data backbone. We propose 1) DBpedia Databus - a flex-ible, heavily automatizable dataset management and publishingplatform based on DataID metadata; that is extended by 2) thenovel Databus Mods architecture which allows for flexible, uni-fied, community-specific metadata extensions and (search) overlaysystems; 3) DBpedia Archivo an archiving solution for unified han-dling and improvement of FAIRness for ontologies on publisher andconsumer side; as well as 4) the DBpedia Global ID managementand lookup services to cluster and discover equivalent entities andproperties.},
added-at = {2024-03-04T14:15:43.000+0100},
author = {Frey, Johannes and Hellmann, Sebastian},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://www.bibsonomy.org/bibtex/27cea81be80ec3db6efee2059264689a6/aksw},
booktitle = {Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021},
doi = {10.1145/3442442.3451364},
editor = {Leskovec, Jure and Grobelnik, Marko and Najork, Marc and Tang, Jie and Zia, Leila},
interhash = {c9cdddb38e4fe2c072208ec8ccf66bc9},
intrahash = {7cea81be80ec3db6efee2059264689a6},
keywords = {frey group_aksw hellmann kilt},
pages = {431--435},
publisher = {{ACM} / {IW3C2}},
timestamp = {2024-03-04T14:15:43.000+0100},
title = {{FAIR} {L}inked {D}ata - {T}owards a {L}inked {D}ata {B}ackbone for {U}sers and {M}achines},
url = {https://svn.aksw.org/papers/2021/sci-k_fair-linked-data/public.pdf},
year = 2021
}