ANGIE: active knowledge for interactive exploration

Authors:
Nicoleta Preda;Fabian M. Suchanek;Gjergji Kasneci;Thomas Neumann;Maya Ramanath;Gerhard Weikum
Affiliations:
Max Planck Institute for Informatics, Saarbrücken, Germany;Max Planck Institute for Informatics, Saarbrücken, Germany;Max Planck Institute for Informatics, Saarbrücken, Germany;Max Planck Institute for Informatics, Saarbrücken, Germany;Max Planck Institute for Informatics, Saarbrücken, Germany;Max Planck Institute for Informatics, Saarbrücken, Germany
Venue:
Proceedings of the VLDB Endowment
Year:
2009

Citing 19
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Chapter 3: search for knowledge

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Abstract

We present ANGIE, a system that can answer user queries by combining knowledge from a local database with knowledge retrieved from Web services. If a user poses a query that cannot be answered by the local database alone, ANGIE calls the appropriate Web services to retrieve the missing information. This information is integrated seamlessly and transparently into the local database, so that the user can query and browse the knowledge base while appropriate Web services are called automatically in the background.