@inproceedings{dojchinovski-2024-dbpedia,
title = "The {DB}pedia Databus Tutorial: Increase the Visibility and Usability of Your Data",
author = "Dojchinovski, Milan",
editor = "Klinger, Roman and
Okazaki, Naozaki and
Calzolari, Nicoletta and
Kan, Min-Yen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): Tutorial Summaries",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-tutorials.7",
pages = "42--44",
abstract = "This tutorial introduces DBpedia Databus (https://databus.dbpedia.org), a FAIR data publishing platform, to address challenges faced by data producers and consumers. It covers data organization, publishing, and consumption on the DBpedia Databus, with an exclusive focus on Linguistic Knowledge Graphs. The tutorial offers practical insights for knowledge graph stakeholders, aiding data integration and accessibility in the Linked Open Data community. Designed for a diverse audience, it fosters hands-on learning to familiarize participants with the DBpedia Databus technology.",
}
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%0 Conference Proceedings
%T The DBpedia Databus Tutorial: Increase the Visibility and Usability of Your Data
%A Dojchinovski, Milan
%Y Klinger, Roman
%Y Okazaki, Naozaki
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): Tutorial Summaries
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F dojchinovski-2024-dbpedia
%X This tutorial introduces DBpedia Databus (https://databus.dbpedia.org), a FAIR data publishing platform, to address challenges faced by data producers and consumers. It covers data organization, publishing, and consumption on the DBpedia Databus, with an exclusive focus on Linguistic Knowledge Graphs. The tutorial offers practical insights for knowledge graph stakeholders, aiding data integration and accessibility in the Linked Open Data community. Designed for a diverse audience, it fosters hands-on learning to familiarize participants with the DBpedia Databus technology.
%U https://aclanthology.org/2024.lrec-tutorials.7
%P 42-44
Markdown (Informal)
[The DBpedia Databus Tutorial: Increase the Visibility and Usability of Your Data](https://aclanthology.org/2024.lrec-tutorials.7) (Dojchinovski, LREC 2024)
ACL