TY  - CONF
ID  - www200964
UR  - http://www2009.eprints.org/64/
A1  - Suchanek, Fabian M.
A1  - Sozio, Mauro
A1  - Weikum, Gerhard
Y1  - 2009/04//
N2  - 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.

TI  - SOFIE: A Self-Organizing Framework for Information Extraction
SP  - 631
M2  - Madrid, Spain
AV  - public
EP  - 631
T2  - 18th International World Wide Web Conference
ER  -