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Experiences in WordNet Visualization with Labeled Graph Databases

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 631))

Abstract

Data and Information Visualization is becoming strategic for the exploration and explanation of large data sets due to the great impact that data have from a human perspective. The visualization is the closer phase to the users within the data life cycle’s phases, thus, an effective, efficient and impressive representation of the analyzed data may result as important as the analytic process itself. In this paper, we present our experiences in importing, querying and visualizing graph databases taking one of the most spread lexical database as case study: WordNet. After having defined a meta-model to translate WordNet entities into nodes and arcs inside a labeled oriented graph, we try to define some criteria to simplify the large-scale visualization of WordNet graph, providing some examples and considerations which arise. Eventually, we suggest a new visualization strategy for WordNet synonyms rings by exploiting the features and concepts behind tag clouds.

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Correspondence to Antonio M. Rinaldi .

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Caldarola, E.G., Picariello, A., Rinaldi, A.M. (2016). Experiences in WordNet Visualization with Labeled Graph Databases. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2015. Communications in Computer and Information Science, vol 631. Springer, Cham. https://doi.org/10.1007/978-3-319-52758-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-52758-1_6

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  • Print ISBN: 978-3-319-52757-4

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