This thesis is addressing the issue that we are not able to fully utilize the potential of all the data that the contemporary world around us is constantly producing. The goal of this thesis is to implement a Linked Data driven web application generator that allows lay users to generate web applications from multiple RDF data sources. The application generator automatically analyzes the data sources to help the user with the generation process. Each generated application can be configured and published. The generator contains a list of different types of applications that can be generated depending on the type of input data. This list can be extended and the generator works as a framework which simplifies the process of adding support for new types of applications and new types of data. The generator is also a platform. It allows users to create accounts to manage their published applications and it also features a catalog of published applications and a repository of publicly available data sources that any user can use to generate a new application. The generator is integrated into LinkedPipes Visualization tool. Powered by TCPDF (www.tcpdf.org)
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:352793 |
| Date | January 2016 |
| Creators | Potoček, Tobiáš |
| Contributors | Helmich, Jiří, Škoda, Petr |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0027 seconds