engElPub - ELectronic PUBlishing2018-06-20Connecting the Knowledge...Long Papers10.4000/proceedings.elpub.2018.174605journal articleMilena Angelova0Vishnu Devagiri1Veselka Boeva1Peter Linde1Niklas Lavesson1Technical University of Sofia [Bulgaria]Blekinge Institute of TechnologyFinding experts in academics is an important practical problem, e.g. recruiting reviewers for reviewing conference, journal or project submissions, partner matching for research proposals, finding relevant M. Sc. or Ph. D. supervisors etc. In this work, we discuss an expertise recommender system that is built on data extracted from the Blekinge Institute of Technology (BTH) instance of the institutional repository system DiVA. The developed prototype system is evaluated and validated on information extracted from the BTH DiVA installation, concerning thesis supervision of researchers affiliated with BTH. The extracted DiVA classification terms are used to build an ontology that conceptualizes the thesis domain supported by the university. The supervisor profiles of the tutors affiliated with the BTH are constructed based on the extracted DiVA data. These profiles can further be used to identify and recommend relevant subject thesis supervisors.http://elpub.episciences.org/4605/pdfnatural language processingdata miningDiVAexpertise retrievalknowledge management[SHS.INFO]Humanities and Social Sciences/Library and information sciences