DocumentCode :
1592112
Title :
Automated news content identification from sources of Technical University of Kosice environment
Author :
Blanar, M. ; Pekar, Adrian ; Chovancova, Eva ; Radusovsky, Jan
Author_Institution :
Dept. of Comput. & Inf., Tech. Univ. of Kosice, Kosice, Slovakia
fYear :
2013
Firstpage :
89
Lastpage :
93
Abstract :
Major purpose of this labor is design and implementation of a parser, that has an ability to identify and parse news from any possible sources. The parser tries to find useful news from websites by predefined parsing strategy often those that don´t support news´s dissemination. Outlet application is ready for managing by user and administrator too. Parsed news is clearly shown in small windows called portlets what brings easy access to favorite information. Only registered users are eligible to receive notifications by emails. This application provides an intuitive graphical user interface, created from well-arranged elements.
Keywords :
Web sites; grammars; graphical user interfaces; information dissemination; information retrieval; text analysis; Technical University of Kosice environment sources; Websites; automated news content identification; emails; graphical user interface; information access; news dissemination; news parsing strategy; parser; portlets; Containers; Electronic mail; Feeds; HTML; Informatics; Standards; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2013 IEEE 11th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4673-5928-3
Electronic_ISBN :
978-1-4673-5927-6
Type :
conf
DOI :
10.1109/SAMI.2013.6480951
Filename :
6480951
Link To Document :
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