Thesis (Selection of subject)Thesis (Selection of subject)(version: 284)
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Platforma pro exploraci Linked Data
Thesis title in Czech: Platforma pro exploraci Linked Data
Thesis title in English: Linked Data Exploration Platform
Key words: Linked Data, explorace, vizualizace, datová analýza
English key words: Linked Data, exploration, visualization, data analysis
Academic year of topic announcement: 2016/2017
Type of assignment: dissertation
Thesis language:
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: 20.09.2017
Date of assignment: 20.09.2017
Confirmed by Study dept. on: 06.10.2017
The publication of data as Linked Open Data (LOD) gains traction. There are lots of different datasets published, more vocabularies are becoming W3C Recommendations and with the introduction of DCAT-AP v1.1 and the emergence of the European data portal and a multitude of national open data portals, lots of datasets are discoverable and accessible using their DCAT-AP metadata in RDF. The complexity of data available as LOD has grown so much that it prevents users who are not experts on respective domains from the ability to acquaint themselves in available datasets - their structure, semantics and relationships between them. The purpose of this thesis is to contribute to the field of future Linked Data exploration technologies [1] with novel approaches of computing different kinds of summary, semantics and relationship descriptors of datasets and present them to the user and to help user with better understanding of available datasets.
[1] Jakub Klímek, Petr Škoda, Martin Nečaský. Requirements on Linked Data Consumption Platform. LDOW 2016 at WWW 2016. [Requirements on Linked Data Consumption Platform ( Jakub Klímek , Petr Škoda , Martin Nečaský]
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