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Semantics Visualization - Definition, Approaches and Challenges

Nazemi, Kawa ; Burkhardt, Dirk ; Ginters, Egils ; Kohlhammer, Jörn (2015)
Semantics Visualization - Definition, Approaches and Challenges.
In: Procedia Computer Science online, 75
doi: 10.1016/j.procs.2015.12.216
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The visualization of the simulation results must be done in conformity with beneficiaries perception and professional domain understanding. It means that right data must be identified before. Semantic technologies provide new ways for accessing data and acquiring knowledge. The underlying structures allow finding information easier, gathering meanings and associations of the data entities and associating the data to users' knowledge. Even though the focus of the research in this area is more to provide ''machine readable'' data, human-centered systems benefit from the technologies too. Especially graphical representations of the semantically structured data play a key-role in today's research. The meaningful relations of data entities and the meaningful and labeled clustering of data in form of semantic concepts enable new ways to visualize data. With these new ways, various challenges are related with deploying semantics visualizations beyond analytical search and simulation. The goal is to give a common understanding of the term semantics as it is used in semantic web. This paper dealt with the general idea of semantics visualization. First a short introduction to semantic formalisms is given followed by a general definition. Subsequently approaches and techniques of existing semantics visualizations are presented, where-as a new classification is introduced to describe the techniques. The article concludes with future challenges in semantics visualization focusing on users, data and tasks.

Typ des Eintrags: Artikel
Erschienen: 2015
Autor(en): Nazemi, Kawa ; Burkhardt, Dirk ; Ginters, Egils ; Kohlhammer, Jörn
Art des Eintrags: Bibliographie
Titel: Semantics Visualization - Definition, Approaches and Challenges
Sprache: Englisch
Publikationsjahr: 2015
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Procedia Computer Science online
Jahrgang/Volume einer Zeitschrift: 75
DOI: 10.1016/j.procs.2015.12.216
Kurzbeschreibung (Abstract):

The visualization of the simulation results must be done in conformity with beneficiaries perception and professional domain understanding. It means that right data must be identified before. Semantic technologies provide new ways for accessing data and acquiring knowledge. The underlying structures allow finding information easier, gathering meanings and associations of the data entities and associating the data to users' knowledge. Even though the focus of the research in this area is more to provide ''machine readable'' data, human-centered systems benefit from the technologies too. Especially graphical representations of the semantically structured data play a key-role in today's research. The meaningful relations of data entities and the meaningful and labeled clustering of data in form of semantic concepts enable new ways to visualize data. With these new ways, various challenges are related with deploying semantics visualizations beyond analytical search and simulation. The goal is to give a common understanding of the term semantics as it is used in semantic web. This paper dealt with the general idea of semantics visualization. First a short introduction to semantic formalisms is given followed by a general definition. Subsequently approaches and techniques of existing semantics visualizations are presented, where-as a new classification is introduced to describe the techniques. The article concludes with future challenges in semantics visualization focusing on users, data and tasks.

Freie Schlagworte: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Visualization, Simulation, Semantics visualization
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 06 Mai 2019 10:03
Letzte Änderung: 06 Mai 2019 10:03
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