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