Extracting Conceptual Feature Structures from Text

Troels Andreasen, Henrik Bulskov, Tine Lassen, Per Anker Jensen

Publikation: Bidrag til tidsskriftKonferenceartikelpeer review

Abstract

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.
OriginalsprogEngelsk
BogserieLecture Notes in Computer Science
Vol/bind6804
Sider (fra-til)396-406
Antal sider11
ISSN0302-9743
DOI
StatusUdgivet - 1 jun. 2011

Bibliografisk note

Foundations of Intelligent Systems
19th International Symposium, ISMIS 2011, Warsaw, Poland, June 28-30, 2011. Proceedings

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