Martin Dostal


E-mail: madostal@kiv.zcu.cz

Martin graduated from the University of West Bohemia in 2009, specialized in software engineering. He is interested in the semantic Web, information retrieval, and question answering. He is also specialized in Web technologies such as Php, MySql and jQuery.

Publications:


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Publication

Vizualizace dat s využitím frameworku AngularJS

Authors:  Petr Kukrál, Martin Dostal, Dalibor Fiala
Source:Proc. DATA A ZNALOSTI 2016, Smolenice, Slovakia, pp. 129-133. (ISBN 978-80-227-4619-9)
Download: download Full text [433 kB]
Publication

Moderné informetrické metódy hodnotenia vedeckého výskumu

Authors:  Dalibor Fiala, Martin Dostal, Ján Paralič, Gabriel Tutoky, Cecília Havrilová
Source:Proc. DATA A ZNALOSTI 2015, Prague, Czech Republic, pp. 81-84. (ISBN 978-80-248-3824-3)
Download: download Full text [285 kB]
Publication

PageRank variants in the evaluation of citation networks

Authors:  Michal Nykl, Karel Ježek, Dalibor Fiala, Martin Dostal
Source:Journal of Informetrics, vol. 8, no. 3, pp. 683–692, 2014.
ISSN:1751-1577
Download: download Full text [790 kB]
Scopus:84903717945
View record in Web of Science®
Publication

Linked Data and PageRank based classification

Authors:  Martin Dostal, Michal Nykl, Karel Ježek, Dalibor Fiala
Source:Proceedings of IADIS International Conference Theory and Practice in Modern Computing 2013 (part of MCCSIS 2013). Praha: IADIS Press, 2013, pp. 61-64, ISBN: 978-972-8939-94-6.
Download: download Full text [495 kB]
Publication

Semantic Markup for Web Applications

Authors:  Martin Dostal, Dalibor Fiala, Karel Ježek
Source:Proceedings of the International Conference on Computer, Communication, Information Sciences, and Engineering (ICCCISE 2013), Paris, France, pp. 506 - 509, 2013. World Academy of Science, Engineering and Technology, vol. 76, April 2013. ISSN: 2010-376X.
Download: download Full text [200 kB]

Projects:


Project

Document Clustering and Linked Data

Authors:  Karel Ježek, Martin Dostal
Desc.:Unsupervised methods for automatic tagging and clustering based on information extraction from Linked data.