Evolution of Author's Profiles Based on Analysis of DBLP Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089194" target="_blank" >RIV/61989100:27240/13:86089194 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Evolution of Author's Profiles Based on Analysis of DBLP Data
Original language description
In this paper we introduce a method for analysing the evolution of author's profiles based on keywords extracted from titles of research papers contained in the DBLP database. Academic literature and research papers have been increasing rapidly in recentyears. There are a lot of authors who focus each year on popular and widely used topics. Therefore finding experts for particular areas of research is not an easy task. Our solution presented in this paper uses formal concept analysis for finding profiles of author's based on keywords used in titles of research papers. We try to analyse the evolution of these author's profiles over time. Our presented approach is illustrated by using papers contained in the DBLP database from the last decade.
Czech name
—
Czech description
—

Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)