creators_name: Suchanek, Fabian M. creators_name: Sozio, Mauro creators_name: Weikum, Gerhard type: conference_item datestamp: 2009-04-06 19:10:20 lastmod: 2009-04-20 16:39:12 metadata_visibility: show title: SOFIE: A Self-Organizing Framework for Information Extraction ispublished: pub full_text_status: public pres_type: paper abstract: 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 pagerange: 631-631 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: 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. document_url: http://www2009.eprints.org/64/1/p631.pdf document_url: http://www2009.eprints.org/64/2/sofie.ppt