A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data

Elisabeth Lex, Christin Seifert, Wolfgang Kienreich, Michael Granitzer

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
35 Downloads (Pure)

Abstract

In this work we present APA Labs, a generic framework for visualizing the news article domain. APA Labs is a web-based platform enabling retrieval and analysis of news repositories provided by the Austrian Press Agency. APA Labs is designed as a rich internet application combined with a modular system of interactive visualizations. News articles are analyzed using domain specific named entity extraction methods combined with language specific heuristics. The proposed methods were subject to an evaluation procedure outlined in this contribution. This article illustrates the domain, the underlying concepts and implementation details. Several visualization modules are presented and an outlook on planned modules is given. Being online for around six months the community feedback as well as the easy integration of new modules shows the success of the underlying concept and the platform itself.
Original languageEnglish
Pages (from-to)434-441
JournalJournal of digital information management
Volume6
Issue number6
Publication statusPublished - 1 Oct 2008
Externally publishedYes

Keywords

  • Search process
  • Textual Databases
  • Webbased services

Fingerprint

Dive into the research topics of 'A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data'. Together they form a unique fingerprint.

Cite this