Extracting conceptual feature structures from text

Authors:
Troels Andreasen;Henrik Bulskov;Per Anker Jensen;Tine Lassen
Affiliations:
Roskilde University, CBIT, Roskilde and Copenhagen Business School, ISV, Frederiksberg;Roskilde University, CBIT, Roskilde and Copenhagen Business School, ISV, Frederiksberg;Roskilde University, CBIT, Roskilde and Copenhagen Business School, ISV, Frederiksberg;Roskilde University, CBIT, Roskilde and Copenhagen Business School, ISV, Frederiksberg
Venue:
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Year:
2011

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Abstract

This paper describes the an approach to indexing texts by their conceptual content using ontologies. Central to this approach is a two-phase extraction principle divided into a syntactic annotation phase and a semantic generation phase drawing on lexico-syntactic information and semantic role assignment provided by existing lexical resources. Meaningful chunks of text are transformed into conceptual feature structures and mapped into concepts in a generative ontology. By this approach, synonymous but linguistically quite distinct expressions are extracted and mapped to the same concept in the ontology, providing a semantic indexing which enables content-based search.