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キーワード:
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要旨:
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 near-perfect output, even from unstructured
Internet documents.
