SOFIE: A Self-Organizing Framework for Information ExtractionFabian M.SuchanekauthorMauroSozioauthorGerhardWeikumauthorThis 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.
2009-04Conference or Workshop Item