title: SOFIE: A Self-Organizing Framework for Information Extraction creator: Suchanek, Fabian M. creator: Sozio, Mauro creator: Weikum, Gerhard description: 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. date: 2009-04 type: Conference or Workshop Item type: PeerReviewed format: application/pdf identifier: http://www2009.eprints.org/64/1/p631.pdf format: application/vnd.ms-powerpoint identifier: http://www2009.eprints.org/64/2/sofie.ppt identifier: Suchanek, Fabian M. and Sozio, Mauro and Weikum, Gerhard (2009) SOFIE: A Self-Organizing Framework for Information Extraction. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. relation: http://www2009.eprints.org/64/