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Extraction of Semantic Information from Web Resources

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F08%3A00101286" target="_blank" >RIV/00216208:11320/08:00101286 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Extraction of Semantic Information from Web Resources

  • Original language description

    The paper addresses a problem of extraction of semantic information from Czech texts from the Web. The method described in this paper exploits existing linguistic tools created originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0). We are working on development of a system which captures text of web-pages, annotates it linguistically by linguistic tools, extracts data and interprets the extracted data semantically in terms of web ontologies. The proposed extraction methodis based on extraction rules ? tree queries, which are adopted from the Netgraph application. Semantic interpretation of these rules provides semantics of the extracted data. We present some initial experiments in the domain of reports of traffic accidents.

  • Czech name

    Extrakce sémantických informací z webových zdrojů

  • Czech description

    Extrakce sémantických informací z webových zdrojů, [http://www.mff.cuni.cz/veda/konference/wds/contents/pdf08/WDS08_138_i2_Dedek.pdf]

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • 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

  • Article name in the collection

    WDS'08 Proceedings of Contributed Papers: Part I - Mathematics and Computer Sciences

  • ISBN

    978-80-7378-065-4

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Matfyzpress

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Jan 1, 2008

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article