DL Meet FL: A Bidirectional Mapping between Ontologies and Linguistic Knowledge

摘要

We present a transformation scheme that me-diates between description logics (DL) or RDF-encoded ontologies and type hierar-chies in feature logics (FL). The DL-to-FL direction is illustrated by an implemented offline procedure that maps ontologies with large, dynamically maintained instance data to named entity (NE) and information ex-traction (IE) resources encoded in typed fea-ture structures. The FL-to-DL translation is exemplified by a (currently manual) trans-lation of so-called MRS (Minimal Recur-sion Semantics) representations into OWL instances that are based on OWL classes, generated from the the type hierarchy of a deep linguistic grammar. The paper will identify parts of knowledge which can be translated from one formalism into the other without loosing information and parts which can only be approximated. The work de-scribed here is important for the Seman-tic Web to become a reality, since semantic annotations of natural language documents (DL) can be automatically generated by shal-low and deep natural language parsing sys-tems (FL).