Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 99_Community
  • 01_Image_Processing
  • 02_Integrations
  • 03_Tess4J
  • 02_OCR_meets_SemanticWeb
WorkflowWorkflow

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

OCR Semantic Web SPARQL Queries

Last edited: 

Drag Workflow
Workflow preview
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?

External resources

  • OCR meets Semantic Web - Natural Selection vs Modern Theory

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.0
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

  • KNIME Image Processing Trusted extension

    University of Konstanz / KNIME

    Versions 1.5.4, 1.8.1

  • KNIME Image Processing - Tess4J Integration

    University of Konstanz - Jonathan Hale, Christian Dietz

    Version 1.3.0

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

  • KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

  • KNIME Semantic Web Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

Legal

By downloading the workflow, you agree to our terms and conditions.

License (CC-BY-4.0)
Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2021 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits