Extracting Conceptual Feature Structures from Text

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

Research output: Contribution to journalConference articleResearchpeer-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.
Original languageEnglish
Book seriesLecture Notes in Computer Science
Volume6804
Pages (from-to)396-406
Number of pages11
ISSN0302-9743
DOIs
Publication statusPublished - 1 Jun 2011

Cite this

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title = "Extracting Conceptual Feature Structures from Text",
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.",
author = "Troels Andreasen and Henrik Bulskov and Tine Lassen and Jensen, {Per Anker}",
note = "Foundations of Intelligent Systems 19th International Symposium, ISMIS 2011, Warsaw, Poland, June 28-30, 2011. Proceedings",
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Extracting Conceptual Feature Structures from Text. / Andreasen, Troels; Bulskov, Henrik; Lassen, Tine; Jensen, Per Anker.

In: Lecture Notes in Computer Science, Vol. 6804, 01.06.2011, p. 396-406.

Research output: Contribution to journalConference articleResearchpeer-review

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AU - Bulskov, Henrik

AU - Lassen, Tine

AU - Jensen, Per Anker

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AB - 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.

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