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2009
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SOFIE: a self-organizing framework for information extraction

10 years 10 months ago
SOFIE: a self-organizing framework for information extraction
This paper presents SOFIE, a system for automated ontology extension. SOFIE can parse natural language documents, extract ontological facts from them and link the facts into an ontology. SOFIE uses logical reasoning on the existing knowledge and on the new knowledge in order to disambiguate words to their most probable meaning, to reason on the meaning of text patterns and to take into account world knowledge axioms. This allows SOFIE to check the plausibility of hypotheses and to avoid inconsistencies with the ontology. The framework of SOFIE unites the paradigms of pattern matching, word sense disambiguation and ontological reasoning in one unified model. Our experiments show that SOFIE delivers high-quality output, even from unstructured Internet documents. Categories and Subject Descriptors
Fabian M. Suchanek, Mauro Sozio, Gerhard Weikum
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2009
Where WWW
Authors Fabian M. Suchanek, Mauro Sozio, Gerhard Weikum
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