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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
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Παπαδάκη, Μαρία-Ευαγγελία Ε.
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Thesis advisor
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Τζίτζικας, Ιωάννης
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Reviewer
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Πλεξουσάκης, Δημήτρης
Παπαγιαννάκης, Γιώργος
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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 |
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Διαδραστικά συστήματα |
|
Διασυνδεδεμένα δεδομένα |
Issue date |
2017-03-17 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
|
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Type of Work--Post-graduate theses
|
Permanent Link |
https://elocus.lib.uoc.gr//dlib/d/1/3/metadata-dlib-1491387280-602709-18682.tkl
|
Views |
632 |