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Automatic Extraction of Topic Maps based Argumentation Trails
Presentation, was published by Benjamin Bock, Lutz Maicher, Marco Büchler, and Frederik Baumgardt at 2009-03-25
With argumentation trails we introduce an approach of finding relevant associations between arbitrary terms. An argumentation trail between two terms is an ordered list of cooccurrences, providing a connected path from the origin to the endpoint of the argumentation. Within this paper the automatic generation of argumentation trails is examined and assessed. Furthermore, the formal representation of these trails as Topic Maps is implemented. This enables the integration of argumentation trails with further background information to support sensemaking or other discourse enriching techniques for academic or political debates.
Publish at Scribd or explore others: Research topic maps Text Mining
Presentation held at the TMS 2009 conference.
Authors
Benjamin Bock
http://twitter.com/bnjmnbck
Benjamin is project leader of Ruby Topic Maps and rtm-tmql.
Lutz Maicher
http://www.wifa.uni-leipzig.de/isrm ...
Lutz is project leader of Musica Migrans, Topic Maps Lab Community.. , and Repertoire of the St. Thomas.. .
Marco Büchler
http://www.asv.informatik.uni-leipzig.de ...
Marco is author of Automatic Extraction of.. and Von Platon zu Alexander dem.. .
Frederik Baumgardt
No contact information available.
Frederik is author of Automatic Extraction of.. and Von Platon zu Alexander dem.. .