Customizable Linked Data Browser

• Thesis title in Czech: Přizpůsobitelný prohlížeč pro Linked Data
• Thesis title in English: Customizable Linked Data Browser
• Key words: linked data, rdf, data browser
• English key words: linked data, rdf, data browser
• Academic year of topic announcement: 2013/2014
• Thesis type: diploma thesis
• Thesis language: angličtina
• Department: Department of Software Engineering (32-KSI)
• Supervisor: doc. Mgr. Martin Nečaský, Ph.D.
• Author: hidden - assigned and confirmed by the Study Dept.
• Date of registration: 18.09.2014
• Date of assignment: 18.09.2014
• Confirmed by Study dept. on: 30.04.2015
• Date and time of defence: 09.09.2015 10:30
• Date of electronic submission: 31.07.2015
• Date of submission of printed version: 31.07.2015
• Date of proceeded defence: 09.09.2015
• Opponents: RNDr. Jakub Klímek, Ph.D.

Guidelines

The aim of the thesis is to develop a web application which serves as a Linked Data browser. In comparison to existing approaches it will enable users to provide templates which define a visual style for presentation of particular types of Linked Data resources. Users will be allowed to define their own templates. Before showing a chosen resource to a user, the browser will identify available templates which can be applied to the resource. If there are more templates identified, the browser will use the priorities defined by the user to choose an appropriate template. The author will identify existing or develop own language for specification of templates.

References

[1] Chris Becker, Chris Bizer: DBpedia Mobile: A Location-Enabled Linked Data Browser. LDOW 2008.
[2] Tim Berners-Lee, Yuhsin Chen, Lydia Chilton, Dan Connolly, Ruth Dhanaraj, James Hollenbach, Adam Lerer, and David Sheets: Tabulator: Exploring and Analyzing linked data on the Semantic Web. [http://student.bus.olemiss.edu/files/conlon/others/others/semantic%20web%20papers/Berners-Lee.pdf]
[3] Jakub Klímek, Jiří Helmich, Martin Nečaský: Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud. LDOW 2014.
[4] http://www.w3.org/TR/2014/REC-turtle-20140225/