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Visualizing Readable Instance Graphs of Ontology with Memo Graph

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Book cover Neural Information Processing (ICONIP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11955))

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Abstract

In the context of the Captain Memo memory prosthesis for Alzheimer’s patients, we want to generate the family/entourage tree of the user from data structured based on the PersonLink ontology. This graph ought to be accessible and readable to this particular user. In our previous work, we proposed an ontology visualization tool called Memo Graph. It aims to offer an accessible visualization to Alzheimer’s patients. In this paper, we extend it to address the readability requirement based on the IKIEV approach. It extracts the most important instances (key-instances) from ontology and generates a “summary instance graph” (middle-out browsing method). The extraction and visualization processes are undertaken incrementally. First, an “initial summary instance graph” is generated, then permitting iteratively the visualization of supplementary key-instances as required. Key-instances’ extraction is based on measures that take into account the semantic similarity between the ontological elements and the user’s navigation history.

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Notes

  1. 1.

    http://viva.cnam.fr/.

  2. 2.

    http://thematix.com/tools/vom.

  3. 3.

    http://protegewiki.stanford.edu/wiki/SOVA.

  4. 4.

    https://www.w3.org/2001/11/IsaViz/overview.html.

  5. 5.

    http://semweb.salzburgresearch.at/apps/rdf-gravity/.

  6. 6.

    http://protegewiki.stanford.edu/wiki/OWLViz.

  7. 7.

    http://protegewiki.stanford.edu/wiki/OWLPropViz.

  8. 8.

    https://jena.apache.org/.

  9. 9.

    http://jwordnet.sourceforge.net/handbook.html.

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Authors and Affiliations

  1. CEDRIC Laboratory, Conservatoire National des Arts et Métiers (CNAM), Paris, France

    Fatma Ghorbel, Fayçal Hamdi & Elisabeth Métais

  2. MIRACL Laboratory, University of Sfax, Sfax, Tunisia

    Fatma Ghorbel, Wafa Wali & Bilel Gargouri

Authors
  1. Fatma Ghorbel
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  2. Wafa Wali
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  3. Fayçal Hamdi
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  4. Elisabeth Métais
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  5. Bilel Gargouri
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Corresponding authors

Correspondence to Fatma Ghorbel or Wafa Wali .

Editor information

Editors and Affiliations

  1. Australian National University, Canberra, ACT, Australia

    Tom Gedeon

  2. Murdoch University, Murdoch, WA, Australia

    Kok Wai Wong

  3. Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

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Ghorbel, F., Wali, W., Hamdi, F., Métais, E., Gargouri, B. (2019). Visualizing Readable Instance Graphs of Ontology with Memo Graph. In: Gedeon, T., Wong, K., Lee, M. (eds) Neural Information Processing. ICONIP 2019. Lecture Notes in Computer Science(), vol 11955. Springer, Cham. https://doi.org/10.1007/978-3-030-36718-3_11

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  • DOI: https://doi.org/10.1007/978-3-030-36718-3_11

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  • Online ISBN: 978-3-030-36718-3

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