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Discovering communities of similar R&D projects

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00087399" target="_blank" >RIV/00216224:14330/15:00087399 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5220/0005663004600465" target="_blank" >http://dx.doi.org/10.5220/0005663004600465</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0005663004600465" target="_blank" >10.5220/0005663004600465</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Discovering communities of similar R&D projects

  • Original language description

    Datasets about research projects contain knowledge that is valuable for several types of subjects working in the R&amp;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 ofprojects in a visual way. In our approach we use several concepts developed in social network analysis.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS

  • ISBN

    9789897581588

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    460-465

  • Publisher name

    SciTePress

  • Place of publication

    Lisbon; Portugal

  • Event location

    Lisbon; Portugal

  • Event date

    Jan 1, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article