@inproceedings{www200964,
       booktitle = {18th International World Wide Web Conference},
           month = {April},
           title = {SOFIE: A Self-Organizing Framework for Information Extraction},
          author = {Fabian M. Suchanek and Mauro Sozio and Gerhard Weikum},
            year = {2009},
           pages = {631--631},
             url = {http://www2009.eprints.org/64/},
        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.
}
}