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Use Cases for Linked Data Visualization Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10314608" target="_blank" >RIV/00216208:11320/15:10314608 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21240/15:00235637

  • Result on the web

    <a href="http://ceur-ws.org/Vol-1409/paper-08.pdf" target="_blank" >http://ceur-ws.org/Vol-1409/paper-08.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use Cases for Linked Data Visualization Model

  • Original language description

    There is a vast amount of Linked Data on the web spread across a large number of datasets. One of the visions behind Linked Data is that the published data is conveniently reusable by others. This, however, depends on many details such as conformance ofthe data with commonly used vocabularies and adherence to best practices for data modeling. Therefore, when an expert wants to reuse existing datasets, he still needs to analyze them to discover how the data is modeled and what it actually contains. Thismay include analysis of what entities are there, how are they linked to other entities, which properties from which vocabularies are used, etc. What is missing is a convenient and fast way of seeing what could be usable in the chosen unknown dataset without reading through its RDF serialization. In this paper we describe use cases based on this problem and their realization using our Linked Data Visualization Model (LDVM) and its new implementation. LDVM is a formal base that exploits t

  • 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 Workshop on Linked Data on the Web co-located with the 24th International World Wide Web Conference (WWW 2015)

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

  • Publisher name

    CEUR Workshop Proceedings

  • Place of publication

    Neuveden

  • Event location

    Florence, Italy

  • Event date

    May 19, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article