Discovering communities of similar R&D projects

VÍTA, Martin. Discovering communities of similar R&D projects. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS. Lisbon; Portugal: SciTePress, 2015, s. 460-465. ISBN 978-989-758-158-8. Dostupné z: https://dx.doi.org/10.5220/0005663004600465.

Základní údaje

• Originální název: Discovering communities of similar R&D projects
• Autoři: VÍTA, Martin (203 Česká republika, garant, domácí).
• Vydání: Lisbon; Portugal, Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS, od s. 460-465, 6 s. 2015.
• Nakladatel: SciTePress

Další údaje

• Originální jazyk: angličtina
• Typ výsledku: Stať ve sborníku
• Obor: 10201 Computer sciences, information science, bioinformatics
• Stát vydavatele: Portugalsko
• Utajení: není předmětem státního či obchodního tajemství
• Forma vydání: tištěná verze "print"
• Kód RIV: RIV/00216224:14330/15:00087399
• Organizační jednotka: Fakulta informatiky
• ISBN: 978-989-758-158-8
• Doi: http://dx.doi.org/10.5220/0005663004600465
• Klíčová slova anglicky: Community discovery; Document similarity; Eigenvector centrality; Latent semantic analysis

Anotace

Datasets about research projects contain knowledge that is valuable for several types of subjects working in the R&D field - including innovative companies, research institutes and universities even individual researchers or research teams, as well as funding providers. The main goal of this paper is to introduce a software tool based on a reusable methodology that allows us to deal with similarity of projects in order to group them and provide a deeper insight into a structure of considered set of projects in a visual way. In our approach we use several concepts developed in social network analysis.