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Identifier 000408104
Title A 3D model for visualizing the LOD cloud
Alternative Title Ένα 3D μοντέλο για την οπτικοποίηση του νέφους Ανοικτών Διασυνδεδεμένων Δεδομένων
Author Παπαδάκη, Μαρία-Ευαγγελία Ε.
Thesis advisor Τζίτζικας, Ιωάννης
Reviewer Πλεξουσάκης, Δημήτρης
Παπαγιαννάκης, Γιώργος
Abstract The LOD (Linked Open Data) cloud has been constantly increasing and it already contains thousands of published datasets. Existing visualizations, like the classical Linking Open Data cloud diagram, are useful for getting an overview of its size, the contained datasets and their connectivity. However, it hardly supports the processes of dataset monitoring, navigation and dataset discovery. For this reason, in this thesis we propose and evaluate a novel interactive 3D visualization that adopts the metaphor of urban area: each dataset is visualized as a building, whose features (e.g. volume) reflect various dataset's features (e.g. number of triples), while roads/bridges and the proximity of the buildings in dicate the commonalities of the datasets. The introduced approach supports diverse types of buildings and various placement algorithms. The visualization is interactive i.e. it allows the user to zoom in any part of the model, to change the perspective, to change the shape of the buildings and their placement, to see all the connections or only those of one dataset, along with others. We explain in details the construction process of this model, we apply it over real datasets (including the entire LOD cloud) and we describe its usefulness for the coverage of user needs. Finally, the thesis reports the results of a task-based evaluation with users, which conducted and showed, that the majority of the participants (a) prefer this model (to the classical 2D diagram), (b) they rate it as more useful, and (c) using this model, they achieved higher success rates in tasks, that were assigned to them.
Language English
Subject Connectivity of datasets
Linked data
Διαδραστικά συστήματα
Διασυνδεδεμένα δεδομένα
Issue date 2017-03-17
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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