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Uncertainty issues and algorithms in automating process connecting web and user

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F08%3A10109920" target="_blank" >RIV/00216208:11320/08:10109920 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Uncertainty issues and algorithms in automating process connecting web and user

  • Original language description

    We focus on replacing human processing web resources by automated processing. On an experimental system we identify uncertainty issues making this process difficult for automated processing and try to minimize human intervention. In particular we focus on uncertainty issues in a Web content mining system and a user preference mining system. We conclude with possible future development heading to an extension of OWL with uncertainty features.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lecture Notes in Computer Science

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    2008

  • Issue of the periodical within the volume

    5327

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    17

  • Pages from-to

    207-223

  • UT code for WoS article

  • EID of the result in the Scopus database