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From a Contextual Graph to a Tree Representation

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Modeling and Using Context (CONTEXT 2017)

Abstract

Through successfully applying the Contextual-Graph formalism in many fields (e.g. medicine, transport, and military), the need for an alternative visualization was recurrently encountered. Decision makers require: (1) a visual representation that clusters all the contextual information needed to develop a practice, and (2) a representation that allows them to easily identify each practice output. Either if this output corresponds to a real object (e.g. a medical image), or an object of the reasoning (e.g. a strategy for highway driving). This paper presents the response to decision-makers needs: the Practice Tree view, which is the result of transforming a contextual graph into a tree that complies the described requirements.

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Acknowledgements

We thank the CONACyT (Consejo Nacional de Ciencia y Tecnología) for funding Kimberly García’s post-doctoral fellowship at LIP6, UPMC. Proposal number: 238920.

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Correspondence to Kimberly García .

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García, K., Brézillon, P. (2017). From a Contextual Graph to a Tree Representation. In: Brézillon, P., Turner, R., Penco, C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science(), vol 10257. Springer, Cham. https://doi.org/10.1007/978-3-319-57837-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-57837-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57836-1

  • Online ISBN: 978-3-319-57837-8

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