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An Expertise Recommender System based on Data from an Institutional Repository (DiVA)
Technical University of sofia, BUL.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.ORCID-id: 0000-0003-3371-5347
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.ORCID-id: 0000-0003-3128-191x
Blekinge Tekniska Högskola, Biblioteket.ORCID-id: 0000-0002-4308-7332
Vise andre og tillknytning
2019 (engelsk)Inngår i: Connecting the Knowledge Common from Projects to sustainable Infrastructure: The 22nd International conference on Electronic Publishing - Revised Selected Papers / [ed] Leslie Chan, Pierre Mounier, OpenEdition Press , 2019, s. 135-149Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

Finding experts in academics is an important practical problem, e.g. recruiting reviewersfor reviewing conference, journal or project submissions, partner matching for researchproposals, finding relevant M. Sc. or Ph. D. supervisors etc. In this work, we discuss anexpertise recommender system that is built on data extracted from the Blekinge Instituteof Technology (BTH) instance of the institutional repository system DiVA (DigitalScientific Archive). DiVA is a publication and archiving platform for research publicationsand student essays used by 46 publicly funded universities and authorities in Sweden andthe rest of the Nordic countries (www.diva-portal.org). The DiVA classification system isbased on the Swedish Higher Education Authority (UKÄ) and the Statistic Sweden's (SCB)three levels classification system. Using the classification terms associated with studentM. Sc. and B. Sc. theses published in the DiVA platform, we have developed a prototypesystem which can be used to identify and recommend subject thesis supervisors in academy.

sted, utgiver, år, opplag, sider
OpenEdition Press , 2019. s. 135-149
Emneord [en]
Text mining, Recommender system, Institutional repository, Ontology
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-18095ISBN: 979-1-0365-3801-8 (tryckt)ISBN: 979-1-0365-3802-5 (digital)OAI: oai:DiVA.org:bth-18095DiVA, id: diva2:1326633
Ingår i projekt
Bigdata@BTH- Scalable resource-efficient systems for big data analytics, Knowledge Foundation
Merknad

open access

Tilgjengelig fra: 2019-06-18 Laget: 2019-06-18 Sist oppdatert: 2021-10-25bibliografisk kontrollert

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Connecting the Knowledge Common from Projects to sustainable Infrastructure

Person

Vishnu Manasa, DevagiriBoeva, VeselkaLinde, PeterLavesson, Niklas

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Vishnu Manasa, DevagiriBoeva, VeselkaLinde, PeterLavesson, Niklas
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Totalt: 843 treff
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