Interactive Dynamic Information Extraction

Authors:
Kathrin Eichler;Holmer Hemsen;Markus Löckelt;Günter Neumann;Norbert Reithinger
Affiliations:
Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, 66123 Saarbrücken and 10178 Berlin, Germany;Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, 66123 Saarbrücken and 10178 Berlin, Germany;Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, 66123 Saarbrücken and 10178 Berlin, Germany;Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, 66123 Saarbrücken and 10178 Berlin, Germany;Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, 66123 Saarbrücken and 10178 Berlin, Germany
Venue:
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Year:
2008

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Abstract

The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request for a topic description which is used for an initial search in order to retrieve a relevant set of documents. On basis of this set of documents unsupervised relation extraction and clustering is done by the system. In contrast to most of the current IE systems the IDEX system is domain-independent and tightly integrates a GUI for interactive exploration of the extraction space.