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Exploration of Document Classification with Linked Data and pageRank

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43919202" target="_blank" >RIV/49777513:23520/14:43919202 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-01571-2_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-01571-2_6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-01571-2_6" target="_blank" >10.1007/978-3-319-01571-2_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploration of Document Classification with Linked Data and pageRank

  • Original language description

    In this article, we would like to present a new approach to classification using Linked Data and PageRank. Our research is focused on classification methods that are enhanced by semantic information. The semantic information can be obtained from ontologyor from Linked Data. DBpedia was used as a source of Linked Data in our case. The feature selection method is semantically based so features can be recognized by non-professional users as they are in a human readable and understandable form. PageRank isused during the feature selection and generation phase for the expansion of basic features into more general representatives. This means that feature selection and PageRank processing is based on network relations obtained from Linked Data. The discovered features can be used by standard classification algorithms. We will present promising results that show the simple applicability of this approach to two different datasets.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Intelligent Distributed Computing VII

  • ISBN

    978-3-319-01570-5

  • ISSN

    1860-949X

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    37-43

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Praha

  • Event date

    Sep 4, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article