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Towards an RDFS- and OWL-aware Visualization Design System Supporting Explicit, Shareable and Composable Mappings

Date
Aug 24, 2011
Time
2:00 PM - 3:00 PM
Speaker
Dipl.-Medieninf. Jan Polowinski
Affiliation
Institut für Software- und Multimediatechnik, Lehrstuhl für Softwaretechnologie
Language
en
Main Topic
Informatik
Other Topics
Informatik
Description
Visualization design systems allow for synthesizing customized visualizations by analyzing data and suggesting how to encode each variable of the data. Although a few powerful systems have been developed, these can only handle tabular data which often comes from statistics. None of these tools is aware of RDFS and OWL and thus, at most, the RDF graph's structure can be visualized as a node-link diagram. The visualization design system we propose, closes this gap and allows to refer directly to RDFS and OWL terms in the visual mappings. Characteristics of properties such as transitivity or symmetry and inverse relations are exploited for visualizing. Thereby, the system supports the inhomogeneous character of RDFS data having many different types of relations. In RDF, entities are often not only described using simple data types, but by their relations to other complex objects. We focus on visual means, which are suitable for representing exactly these relationships. The visual design system is approached in three steps: First, we formalize knowledge from the field of visualization and graphics as the Visualization Ontology (VISO). Second, based on this, we develop a declarative RDF Visualization Language (RVL) that allows for describing universally identifiable and composable mappings. This language is described by a schema that syntactically and semantically constraints the allowed mappings from RDFS properties, classes and individuals to the visual means defined in the VISO. Third, we use the schema of the language in order to build a prototypical RVL editor. Betreuer: Prof. Dr. Uwe Aßmann Fachreferent: Jun.-Prof. Dr. Thomas Schlegel Diese Veranstaltung wird unterstützt von Lehrstuhl für Softwaretechnologie.

Last modified: Aug 23, 2011, 9:36:06 AM

Location

TUD Andreas-Pfitzmann-Bau (Computer Science) (INF 2101 Beratungsraum 2. Etage)Nöthnitzer Straße4601069Dresden
Homepage
https://navigator.tu-dresden.de/etplan/apb/00

Organizer

TUD InformatikNöthnitzer Straße4601069Dresden
Phone
+49 (0) 351 463-38465
Fax
+49 (0) 351 463-38221
Homepage
http://www.inf.tu-dresden.de
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