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Efficient Exploration of Linked Data Cloud

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10316283" target="_blank" >RIV/00216208:11320/15:10316283 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/15:00237438

  • Result on the web

    <a href="http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005558002550261" target="_blank" >http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005558002550261</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0005558002550261" target="_blank" >10.5220/0005558002550261</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Exploration of Linked Data Cloud

  • Original language description

    As the size of semantic data available as Linked Open Data (LOD) increases, the demand for methods for automated exploration of data sets grows as well. A data consumer needs to search for data sets meeting his interest and look into them using suitablevisualization techniques to check whether the data sets are useful or not. In the recent years, particular advances have been made in the field, e.g., automated ontology matching techniques or LOD visualization platforms. However, an integrated approachto LOD exploration is still missing. On the scale of the whole web, the current approaches allow a user to discover data sets using keywords or manually through large data catalogs. Existing visualization techniques presume that a data set is of an expected type and structure. The aim of this position paper is to show the need for time and space efficient techniques for discovery of previously unknown LOD data sets on the base of a consumer's interest and their automated visualization w

  • 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 4th International Conference on Data Management Technologies and Applications

  • ISBN

    978-989-758-103-8

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    255-261

  • Publisher name

    SciTePress

  • Place of publication

    Neuveden

  • Event location

    Colmar, Alsace, France

  • Event date

    Jul 20, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article