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Automatic Extraction of Topic Maps based Argumentation Trails

Präsentation, veröffentlicht von Benjamin Bock, Lutz Maicher, Marco Büchler und Frederik Baumgardt am 25.03.2009

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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Nowadays Topic Maps appears to be very suitable for being applied in Libraries, Archives and Museums. It provides a suitable model and mechanisms for depth indexing, classification and the implementation of FRBR, CIDOC-CRM or other conceptualizations.

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