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Will they blend? OCR meets Semantic Web - Natural Selection vs Modern Theory

OCRSemantic WebSPARQL Queries
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Feb 10, 2017 6:49 PM
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The challenge here is to blend Semantic Web data and image data (in PNG format) by implementing dbpedia queries using SPARQL query language and by using Optical Character Recognition (OCR). The goal is to find differences in the content between the Natural Selection theory developed by Charles Darwin and the new modern evolutionary theories. The evolutionary idea proposed by Charles Darwin and called "Natural selection theory" explains the mechanisms of evolution. It is featured in his book "Origin of Species" which, for this workflow, is available through .png files. On the other side, the new modern evolutionary synthesis theory has been queried with SPARQL Query nodes. After some text pre-processing, two different tag clouds graphically show the terms occurring in both sources (the book "Origin of Species" and the content queried from dbpedia related to modern evolutionary synthesis theory)Will they blend?

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  • OCR meets Semantic Web - Natural Selection vs Modern Theory
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.1.2, 4.2.0, 4.3.1, 4.4.0

    knime profile image
    knime
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    KNIME Image ProcessingTrusted extension

    University of Konstanz / KNIME

    Version 1.8.3

    bioml-konstanz
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    KNIME Image Processing - Tess4J Integration

    University of Konstanz - Jonathan Hale, Christian Dietz

    Version 1.3.3

    bioml-konstanz
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime profile image
    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime profile image
    knime
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    KNIME Semantic WebTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime profile image
    knime
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    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.2.0, 4.4.0

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    knime

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