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Creating knowledge maps using Memory Island

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Abstract

Knowledge maps are useful tools, now beginning to be widely applied to the management and sharing of large-scale hierarchical knowledge. In this paper, we discuss how knowledge maps can be generated using Memory Island. Memory Island is our cartographic visualization technique, which was inspired by the ancient “Art of Memory”. It consists of automatically creating the spatial cartographic representation of a given hierarchical knowledge (e.g., ontology). With the help of its interactive functions, users can navigate through an artificial landscape, to learn and retrieve information from the knowledge. We also present some preliminary results of representing different hierarchical knowledge to show how the knowledge maps created by our technique work.

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Notes

  1. Some examples can be found in our website: http://www-poleia.lip6.fr/~polyle.

  2. Software Ontology (SWO) is a resource for describing software tools. It is available at: http://theswo.sourceforge.net.

  3. Material Ontology is an infrastructure for exchanging material information and knowledge. It is available at: http://musigny.rds.toyo.ac.jp:8080.

  4. ONTOderm is domain ontology for dermatology. It is available at: http://www.ncbi.nlm.nih.gov/pubmed/18713597 ontology (size 50-200 nodes).

  5. DMKM-Data Mining and Knowledge Management.

  6. http://table-des-matieres.iles-de-memoire.net.

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Acknowledgments

We would like to thank Mihnea Tufis of Lip6 for his valuable comments and suggestions for improving this paper. We also thank the reviewers for the valuable comments to improve this paper. Thank you Barry Hope for your proofreading and editing, they greatly helped the readability of our work. This work was partially supported by a grant from the French National Research Project (Investissements d’avenir) LOCUPLETO. This work has been done within the Labex OBVIL project and in collaboration with COST Action TD1210 (KNOWeSCAPE).

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  1. Labex OBVIL LIP6 Laboratory, University Pierre and Marie Curie-Sorbonne University, 4, place jussieu, 75005, Paris, France

    Bin Yang & Jean-Gabriel Ganascia

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  1. Bin Yang
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  2. Jean-Gabriel Ganascia
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Correspondence to Bin Yang.

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Yang, B., Ganascia, JG. Creating knowledge maps using Memory Island. Int J Digit Libr 18, 41–57 (2017). https://doi.org/10.1007/s00799-016-0196-0

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