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17th International Conference on Database and Expert Systems Applications (DEXA'06)
Plagiarism Detection in Large Sets of Press Agency News Articles
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
Wolfgang Kienreich, Competence Center for Knowledge-Based Applications and Systems, Austria
Michael Granitzer, Competence Center for Knowledge-Based Applications and Systems, Austria
Vedran Sabol, Competence Center for Knowledge-Based Applications and Systems, Austria
Werner Klieber, Competence Center for Knowledge-Based Applications and Systems, Austria
The advent of electronic media enabling rapid publishing and instant access to news articles has vastly increased the working pace of the media industry. Press agencies can no longer afford to neglect plagiarisms formerly perceived as irrelevant because such acts instantly void the commercial value of original and potentially exclusive news articles. From a different point of view, individuals and organizations of public interest require instant evaluation of impact of actions taken and diffusion of statements made in the media. This publication presents a methodology and a prototypical system for analyzing plagiarisms and, in general, diffusion of textual content in newspaper articles and reports on preliminary application results obtained in the context of Austria?s press agency APA.
Citation:
Wolfgang Kienreich, Michael Granitzer, Vedran Sabol, Werner Klieber, "Plagiarism Detection in Large Sets of Press Agency News Articles," dexa, pp.181-188, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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