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Extracting Visually Presented Element Relationships from Web Documents

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU108091" target="_blank" >RIV/00216305:26230/13:PU108091 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10468" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10468</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Extracting Visually Presented Element Relationships from Web Documents

  • Original language description

    Many documents in the World Wide Web present structured information that consists of multiple pieces of data with certain relationships among them. Although it is usually not difficult to identify the individual data values in the document text, their relationships are often not explicitly described in the document content. They are expressed by visual presentation of the document content that is expected to be interpreted by a human reader. In this paper, we propose a formal generic model of logical relationships in a document based on an interpretation of visual presentation patterns in the documents. The model describes the visually expressed relationships between individual parts of the contents independently of the document format and the particular way of presentation. Therefore, it can be used as an appropriate document model in many information retrieval or extraction applica- tions. We formally define the model, we introduce a method of extracting the relationships between the content parts based on the visual presentation analysis and we discuss the expected applications. We also present a new dataset consisting of programmes of conferences and other scientific events and we discuss its suitability for the task in hand. Finally, we use the dataset to evaluate results of the implemented system.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Cognitive Informatics and Natural Intelligence

  • ISSN

    1557-3958

  • e-ISSN

    1557-3966

  • Volume of the periodical

    2013

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    13-29

  • UT code for WoS article

  • EID of the result in the Scopus database