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Abstract:
This paper presents SOFIE, a system for automated ontology extension. SOFIE can
parse natural language documents, extract ontological facts from them and link
the facts into an ontology. SOFIE uses logical reasoning on the existing
knowledge and on the new knowledge in order to disambiguate 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 plausibility of
hypotheses and to avoid inconsistencies with the ontology. The framework of
SOFIE unites the paradigms of pattern matching, word sense disambiguation and
ontological reasoning in one unified model. Our experiments show that SOFIE
delivers high-quality output, even from unstructured Internet documents.
