Simplifying access to linked data using tabular views
Thesis title in Czech: | Zjednodušení přístupu k propojeným datům pomocí tabulkových pohledů |
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Thesis title in English: | Simplifying access to linked data using tabular views |
Key words: | datová sada|propojená data|LOD|RDF|CSV |
English key words: | dataset|linked data|LOD|RDF|CSV |
Academic year of topic announcement: | 2017/2018 |
Thesis type: | diploma thesis |
Thesis language: | angličtina |
Department: | Department of Software Engineering (32-KSI) |
Supervisor: | RNDr. Jakub Klímek, Ph.D. |
Author: | hidden - assigned and confirmed by the Study Dept. |
Date of registration: | 22.02.2018 |
Date of assignment: | 22.02.2018 |
Confirmed by Study dept. on: | 20.03.2018 |
Date and time of defence: | 02.09.2021 09:00 |
Date of electronic submission: | 23.07.2021 |
Date of submission of printed version: | 22.07.2021 |
Date of proceeded defence: | 02.09.2021 |
Opponents: | doc. Mgr. Martin Nečaský, Ph.D. |
Guidelines |
Currently, there are many datasets available as Linked Open Data (LOD datasets) [1].
Users may query LOD datasets using SPARQL [2], a query language for RDF data [3]. The available LOD datasets often have a complex schema and it is hard for users to write their SPARQL queries manually. Moreover, there are users who do not want to work with complexities of RDF and SPARQL. Instead, they would like to work with available LOD datasets represented in CSV [4], a more primitive, tabular data format, while still benefiting from the added value of Linked Open Data. In this thesis, the author will design, develop and evaluate a web application which will help users with defining tabular views on selected datasets. The application will receive identifiers of datasets selected by the user and their schemas on the input. The application will present the schemas in a graphical notation to the user who will select the required part of the schemas. The application will generate a SPARQL SELECT query which returns data from the chosen datasets corresponding to the selected part using the CSV representation. The user will be allowed to persist his or her defined tabular view in a catalog. An existing solution will be chosen as a cataloging tool. |
References |
[1] The Linking Open Data cloud diagram. http://lod-cloud.net/
[2] SPARQL 1.1 Overview. W3C. https://www.w3.org/TR/sparql11-overview/ [3] RDF 1.1 Primer. W3C. https://www.w3.org/TR/rdf11-primer/ [4] Common Format and MIME Type for Comma-Separated Values (CSV) Files. RFC 4180, The Internet Society, 2005. https://tools.ietf.org/html/rfc4180 |