Sumba, XBaculima Cumbe, John FernandoEspinoza Mejía, Jorge MauricioSaquicela Galarza, Víctor HugoSumba, FTello Guerrero, Marco Andrés2018-01-112018-01-112016-12-0915710661https://www.scopus.com/inward/record.uri?eid=2-s2.0-85004000331&doi=10.1016%2fj.entcs.2016.12.009&partnerID=40&md5=d83e9caafcab22c4d1a2781c8a8ddb4dhttp://dspace.ucuenca.edu.ec/handle/123456789/28948Searching for scientific publications online is an essential task for researchers working on a certain topic. However, the extremely large amount of scientific publications found in the web turns the process of finding a publication into a very difficult task whereas, locating peers interested in collaborating on a specific topic or reviewing literature is even more challenging. In this paper, we propose a novel architecture to join multiple bibliographic sources, with the aim of identifying common research areas and potential collaboration networks, through a combination of ontologies, vocabularies, and Linked Data technologies for enriching a base data model. Furthermore, we implement a prototype to provide a centralized repository with bibliographic sources and to find similar knowledge areas using data mining techniques in the domain of Ecuadorian researchers community.en-USData IntegrationData MiningLinked DataQuery LanguagesSemantic WebArticle10.1016/j.entcs.2016.12.009