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.
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Andreasen, T., Bulskov, H., Jensen, P.A., Lassen, T. (2011). Extracting Conceptual Feature Structures from Text. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2011. Lecture Notes in Computer Science(), vol 6804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21916-0_43
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DOI: https://doi.org/10.1007/978-3-642-21916-0_43
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