Analysing and Visualizing Statistical Linked Data
Thesis title in Czech: | Analýza a vizualizace statistických Linkded Data |
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Thesis title in English: | Analysing and Visualizing Statistical Linked Data |
Key words: | Linked Data, Data Cube, analysis, visualization, payola |
English key words: | Linked Data, Data Cube, analysis, visualization, payola |
Academic year of topic announcement: | 2012/2013 |
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: | 08.11.2012 |
Date of assignment: | 08.11.2012 |
Confirmed by Study dept. on: | 27.11.2012 |
Date and time of defence: | 09.09.2013 00:00 |
Date of electronic submission: | 01.08.2013 |
Date of submission of printed version: | 01.08.2013 |
Date of proceeded defence: | 09.09.2013 |
Opponents: | RNDr. Jakub Klímek, Ph.D. |
Guidelines |
The major goal of the thesis is to propose an approach to analyzing and visualizing datasets described by Data Cubes [1,4,5] metaformat in combination with Linked Data [2] principles. The student will experiment with Data Cube Vocabulary [6] and, if necessary, with other suitable Linked Data vocabularies. He will implement extensions for the Payola [3] system. He will design an analytical plugin which will enable a user to work with a specified dictionary from the Data Cubes family as well as to map the dictionary semantics to an arbitrary RDF document. Therefore, the Payola system will provide means to convert an RDF document to the Data Cubes metaformat. The student will also implement a set of visualization plugins to provide specific visualizations for several chosen dimensions described in available dictionaries. While integrating the functionality related to the Data Cubes metaformat, the student will also implement some missing user interface features of the Payola system. |
References |
[1] http://en.wikipedia.org/wiki/Data_cube
[2] http://linkeddata.org [3] http://payola.cz [4] Benjamin Zapilko, Andreas Harth, Brigitte Mathias. Enriching and Analysing Statistics with Linked Open Data. [http://www.cros-portal.eu/sites/default/files/S8P1.pdf] [5] Sören Auer, Jan Demter, Michael Martin, Jens Lehmann. LODStats – An Extensible Framework for High-Performance Dataset Analytics. Knowledge Engineering and Knowledge Management Lecture Notes in Computer Science Volume 7603, 2012, pp 353-362 [6] http://www.w3.org/TR/vocab-data-cube/ |