Text Understanding for Knowledge Base Generation in the SYNDIKATE System

Authors:
Udo Hahn;Martin Romacker
Affiliations:
-;-
Venue:
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Year:
1999

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Abstract

SynDiKATe is a system for automatically acquiring knowledge from real-world texts and transferring it to formal representation structures which constitute a text knowledge base. We present a system architecture which integrates requirements from the analysis of single sentences. as well as those of referentially linked sentences forming cohesive texts. Properly accounting for text cohesion phenomena is a prerequisite for the completeness and validity of the generated text representation structures and. therefore. also crucial for any information system application making use of automatically generated text knowledge bases in a reliable way, e.g., by inferentially supported fact retrieval.