document: SOFIE : a self-organizing framework for information extraction 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 .
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