@inproceedings{7a5379e3c76a4439994346d20042361e,
title = "VocRec: An automated vocabulary recommender tool",
abstract = "A common problem faced by data publishers is how to semantically represent data and how to find vocabularies that best represent their data to publish in the Web. To address these problems, this paper introduces a tool, called VocRec, which can be used for recommending vocabularies for relational data that will be published as Linked Data on the Web. Preliminary evaluation using educational databases shows promising results in terms of precision and its ability on assisting data publishers in the task of dataset publication.",
keywords = "Linked data, Vocabulary recommendation",
author = "{do Amaral}, {Wagner G.} and Nunes, {Bernardo Pereira} and Siqueira, {Sean W.M.} and {Paes Leme}, {Luiz Andr{\'e} P.}",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 15th Extended Semantic Web Conference, ESWC 2018 ; Conference date: 03-06-2018 Through 07-06-2018",
year = "2018",
doi = "10.1007/978-3-319-98192-5_39",
language = "English",
isbn = "9783319981918",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "208--212",
editor = "Aldo Gangemi and Gentile, {Anna Lisa} and Heiko Paulheim and Maria Maleshkova and Sebastian Rudolph and Pan, {Jeff Z.} and Mehwish Alam and Nuzzolese, {Andrea Giovanni}",
booktitle = "The Semantic Web",
address = "Germany",
}