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Time-aware Link Prediction in RDF Graphs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F15%3A00231357" target="_blank" >RIV/68407700:21240/15:00231357 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scitepress.org/Portal/PublicationsDetail.aspx?ID=0rKeL7JmT3g=&t=1" target="_blank" >http://www.scitepress.org/Portal/PublicationsDetail.aspx?ID=0rKeL7JmT3g=&t=1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0005428403900401" target="_blank" >10.5220/0005428403900401</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Time-aware Link Prediction in RDF Graphs

  • Original language description

    When a link is not explicitly present in an RDF dataset, it does not mean that the link could not exist in reality. Link prediction methods try to overcome this problem by finding new links in the dataset with support of a background knowledge about thealready existing links in the dataset. In dynamic environments that change often and evolve over time, link prediction methods should also take into account the temporal aspects of data. In this paper, we present a novel time-aware link prediction method. We model RDF data as a tensor and take into account the time when RDF data was created. We use an ageing function to model a retention of the information over the time; lower the significance of the older information and promote more recent. Our evaluation shows that the proposed method improves quality of predictions when compared with methods that do not consider the time information.

  • 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

    WEBIST 2015 - Proceedings of the 11th International Conference on Web Information Systems and Technologies

  • ISBN

    978-989-758-106-9

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

  • Publisher name

    SciTePress

  • Place of publication

    Madeira

  • Event location

    Lisbon

  • Event date

    May 20, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article