This paper describes an approach to indexing texts by their conceptual content using ontologies along with lexico-syntactic information and semantic role assignment provided by lexical resources. The conceptual content of meaningful chunks of text is transformed into conceptual feature structures and mapped into concepts in a generative ontology. Synonymous but linguistically quite distinct expressions are mapped to the same concept in the ontology. This allows us to perform a content-based search which will retrieve relevant documents independently of the linguistic form of the query as well as the documents.
Bibliografisk noteFoundations of Intelligent Systems
19th International Symposium, ISMIS 2011, Warsaw, Poland, June 28-30, 2011. Proceedings
Andreasen, T., Bulskov, H., Lassen, T., & Jensen, P. A. (2011). Extracting Conceptual Feature Structures from Text. Lecture Notes in Computer Science, 6804, 396-406. https://doi.org/10.1007/978-3-642-21916-0_43