Creating knowledge maps using Memory Island

Yang, Bin; Ganascia, Jean-Gabriel

doi:10.1007/s00799-016-0196-0

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Cited by 4 publications

(2 citation statements)

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“…An example is the Text Variation Explorer [11], which uses PCA to represent various sociolinguistic features in text fragments using a scatter plot. Another example is Memory Islands [12], which integrate hierarchical knowledge, e.g. from an ontology.…”

Section: Discussionmentioning

confidence: 99%

Visualizing Symmetric Square Matrices with Rainbow Boxes: Methods and Application to Character Co-occurrence Matrices in Literary Texts

Lamy

2018

2018 22nd International Conference Information Visualisation (IV)

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Section: Discussionmentioning

confidence: 99%

Visualizing Symmetric Square Matrices with Rainbow Boxes: Methods and Application to Character Co-occurrence Matrices in Literary Texts

Lamy

2018

2018 22nd International Conference Information Visualisation (IV)

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“…An example is the Text Variation Explorer [28], which uses PCA to represent various sociolinguistic features in text fragments using a scatter plot. Another example is Memory Islands [31], which integrate hierarchical knowledge, e.g. from an ontology.…”

mentioning

confidence: 99%

Visualizing undirected graphs and symmetric square matrices as overlapping sets

Lamy

2019

Multimed Tools Appl

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Undirected graphs and symmetric square matrices are frequently found in various domains. An example is character co-occurrence matrices in digital humanities. However, the visualization of these datasets is difficult, especially if the graph is highly connected. In this article, we propose a method for visualizing undirected graphs and symmetric square matrices, by transforming them into overlapping sets, and then by visualizing these overlapping sets using set visualization techniques such as Euler diagram or rainbow boxes. We also propose a clustering approach to simplify the visualization.We apply this method to the visualization of various character co-occurrence matrices extracted from novels or DBpedia, ranging from 21 to 114 characters. We show that this visualization allows the finding of several interesting insights. Finally, we discuss the advantages and drawbacks of this method, and we compare it to other approaches in the literature.

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Research on music culture personalized recommendation based on factor decomposition machine

Xu¹

2019

Pers Ubiquit Comput

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Creating knowledge maps using Memory Island

Cited by 4 publications

References 23 publications

Visualizing Symmetric Square Matrices with Rainbow Boxes: Methods and Application to Character Co-occurrence Matrices in Literary Texts

Visualizing Symmetric Square Matrices with Rainbow Boxes: Methods and Application to Character Co-occurrence Matrices in Literary Texts

Visualizing undirected graphs and symmetric square matrices as overlapping sets

Research on music culture personalized recommendation based on factor decomposition machine

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