An Incremental Extraction and Visualization of Ontology Instance Summaries with Memo Graph

Abstract : In the context of a prosthesis for Alzheimer’s patient, we want to show the family and entourage tree of the patient from their saved data structured based on the PersonLink ontology. The generated graph ought to be accessible and readable to this particular user. In our previous work, we proposed our ontology visualization tool called Memo Graph. It aims to offer an accessible visualization to Alzheimer’s patient. In this paper, it is extended to address the readability requirement. The second version is based on our approach called IKIEV. It extracts instance summarizations from a given ontology and generates a set of “summary instance graphs” from the most crucial data (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. This tool is integrated in the memory prosthesis to visualize data structured using PersonLink. We discuss the reassuring results of the usability evaluation of our IKIEV approach.
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Contributor : Elisabeth Métais <>
Submitted on : Wednesday, February 5, 2020 - 11:29:29 PM
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  • HAL Id : hal-02468601, version 1



Fatma Ghorbel, Elisabeth Metais, Fayçal Hamdi, Nebrasse Ellouze. An Incremental Extraction and Visualization of Ontology Instance Summaries with Memo Graph. International conference on the Sciences of Electronics, Technologies of Information and Telecommunications SETIT 2018:, Dec 2018, Gênes, Italy. pp 94-104. ⟨hal-02468601⟩



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