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Ontologies for the Virtual Materials Marketplace.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F20%3A00522410" target="_blank" >RIV/67985858:_____/20:00522410 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/11104/0307836" target="_blank" >http://hdl.handle.net/11104/0307836</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s13218-020-00648-9" target="_blank" >10.1007/s13218-020-00648-9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Ontologies for the Virtual Materials Marketplace.

  • Original language description

    The Virtual Materials Marketplace (VIMMP) project, which develops an open platform for providing and accessing services related to materials modelling, is presented with a focus on its ontology development and data technology aspects. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users. The European Materials and Modelling Ontology is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace frontend.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Künstliche Intelligenz

  • ISSN

    0933-1875

  • e-ISSN

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    6

  • Pages from-to

    423-428

  • UT code for WoS article

    000516346700001

  • EID of the result in the Scopus database

    2-s2.0-85091180579