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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

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. These trails are represented as topic maps.

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.

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Topic Maps offers an information architecture for semantic portals with
highly networked content and access paths in support of the associative
human mind. It is our technology of choice for knowledge oriented
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