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Semantics Visualization - Definition, Approaches and Challenges

Nazemi, Kawa and Burkhardt, Dirk and Ginters, Egils and Kohlhammer, Jörn (2015):
Semantics Visualization - Definition, Approaches and Challenges.
In: Procedia Computer Science online, pp. 75-83, 75, DOI: 10.1016/j.procs.2015.12.216, [Article]

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.

Item Type: Article
Erschienen: 2015
Creators: Nazemi, Kawa and Burkhardt, Dirk and Ginters, Egils and Kohlhammer, Jörn
Title: Semantics Visualization - Definition, Approaches and Challenges
Language: English
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.

Journal or Publication Title: Procedia Computer Science online
Volume: 75
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Visualization, Simulation, Semantics visualization
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 06 May 2019 10:03
DOI: 10.1016/j.procs.2015.12.216
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