Experiences in WordNet Visualization with Labeled Graph Databases

  • Enrico Giacinto Caldarola
  • Antonio Picariello
  • Antonio M. Rinaldi
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 631)


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.


Graph database Big Data NoSQL Data visualization WordNet Neo4J 


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Enrico Giacinto Caldarola
    • 1
    • 2
  • Antonio Picariello
    • 1
  • Antonio M. Rinaldi
    • 1
    • 3
  1. 1.Department of Electrical Engineering and Information TechnologiesUniversity of Naples Federico IINaplesItaly
  2. 2.Institute of Industrial Technologies and Automation, National Research CouncilBariItaly
  3. 3.IKNOS-LAB Intelligent and Knowledge SystemsUniversity of Naples Federico II, LUPTNaplesItaly

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