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Personalised, Serendipitous and Diverse Linked Data Resource Recommendations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F15%3A00241069" target="_blank" >RIV/68407700:21240/15:00241069 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-17966-7_11" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-17966-7_11</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-17966-7_11" target="_blank" >10.1007/978-3-319-17966-7_11</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Personalised, Serendipitous and Diverse Linked Data Resource Recommendations

  • Original language description

    Due to the huge and diverse amount of information, the actual access to a piece of information in the Linked Open Data (LOD) cloud still demands significant amount of effort. To overcome this problem, number of Linked Data based recommender systems havebeen developed. However, they have been primarily developed for a particular domain, they require human intervention in the dataset pre-processing step, and they can be hardly adopted to new datasets. In this paper, we present our method for personalisedaccess to Linked Data, in particular focusing on its applicability and its salient features.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Knowledge Engineering and Knowledge Management

  • ISBN

    978-3-319-17965-0

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    106-110

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • Event location

    Linköping

  • Event date

    Nov 24, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article