HIGGINS: knowledge acquisition meets the crowds

Authors:
Sarath Kumar Kondreddi;Peter Triantafillou;Gerhard Weikum
Affiliations:
Max Planck Institute for Informatics, Saarbrücken, Germany;University of Patras, Rio-Patra, Greece;Max Planck Institute for Informatics, Saarbrücken, Germany
Venue:
Proceedings of the 22nd international conference on World Wide Web companion
Year:
2013

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Abstract

We present HIGGINS, a system for Knowledge Acquisition (KA), placing emphasis on its architecture. The distinguishing characteristic and novelty of HIGGINS lies in its blending of two engines: an automated Information Extraction (IE) engine, aided by semantic resources and statistics, and a game-based Human Computing (HC) engine. We focus on KA from web pages and text sources and, in particular, on deriving relationships between entities. As a running application we utilize movie narratives, from which we wish to derive relationships among movie characters.