@inproceedings{7b34777b49c04be49160c001b04a02b2,
title = "Author-Topic Classification Based on Semantic Knowledge",
abstract = "We propose a novel unsupervised two-phased classification model leveraging from semantic web technologies for discovering common research fields between researchers based on information available from a bibliographic repository and external resources. The first phase performs coarse-grained classification by knowledge disciplines using as reference the disciplines defined in the UNESCO thesaurus. The second phase provides a fine-grained classification by means of a clustering approach combined with external resources. The methodology was applied to the REDI (Semantic Repository of Ecuadorian researchers) project, with remarkable results and thus proving a valuable tool to one of the main REDI{\textquoteright}s goals: discover Ecuadorian authors sharing research interests to foster collaborative research efforts.",
keywords = "Author-topic classification, Data integration, Data mining, Knowledge base, Linked data, Query languages, Semantic web",
author = "Jos{\'e} Segarra and Xavier Sumba and Jos{\'e} Ortiz and Ronald Gual{\'a}n and Mauricio Espinoza-Mejia and V{\'i}ctor Saquicela",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 1st Iberoamerican Knowledge Graphs and Semantic Web Conference, KGSWC 2019 ; Conference date: 23-06-2019 Through 30-06-2019",
year = "2019",
doi = "10.1007/978-3-030-21395-4\_5",
language = "Ingl{\'e}s",
isbn = "9783030213947",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "56--71",
editor = "Yusniel Hidalgo-Delgado and Boris Villaz{\'o}n-Terrazas",
booktitle = "Knowledge Graphs and Semantic Web - 1st Iberoamerican Conference, KGSWC 2019, Proceedings",
}