SOFIE: A Self-Organizing Framework for Information Extraction

Presented at: 18th International World Wide Web Conference (WWW2009)

by Fabian M. Suchanek, Mauro Sozio, Gerhard Weikum

Webpage: http://www2009.eprints.org/64/1/p631.pdf

This paper presents SOFIE, a system for automated on- tology extension. SOFIE can parse natural language docu- ments, extract ontological facts from them and link the facts into an ontology. SOFIE uses logical reasoning on the exist- ing knowledge and on the new knowledge in order to disam- biguate 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 plau- sibility of hypotheses and to avoid inconsistencies with the ontology. The framework of SOFIE unites the paradigms of pattern matching, word sense disambiguation and ontolog- ical reasoning in one unified model. Our experiments show that SOFIE delivers high-quality output, even from unstruc- tured Internet documents.

Keywords: Semantic/Data Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2009/paper/64


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