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Typeful Ontologies ...
Typeful Ontologies with Direct Multilingual Verbalization
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- Angelov, Krasimir, 1978 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Enache, Ramona, 1985 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg
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(creator_code:org_t)
- ISBN 9783642311741
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2012
- 2012
- English.
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In: 2nd Workshop on Controlled Natural Languages, CNL 2010; Marettimo Island, Sicily; Italy; 13 September 2010 through 15 September 2010. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783642311741 ; 7175, s. 1-20
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Abstract
Subject headings
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- We have developed a methodology for the representation of ontologies in a strictly typed language with dependent types. The methodology is supported by an experiment where we translated SUMO (Suggested Upper-Merged Ontology) to GF (Grammatical Framework). The representation of SUMO in GF preserves the expressivity of the original ontology, adding to this the advantages of a type system and built-in support for natural language generation. SUMO is the largest open-source ontology describing over 10,000 concepts and the relations between them, along with a number of first-order axioms, which are further on used in performing automated reasoning on the ontology. GF is a type-theoretical grammar formalism mainly used for natural language applications. Through the logical framework that it incorporates, GF allows a consistent ontology representation, and thanks to its grammatical features the ontology is directly verbalized in a number of controlled natural languages.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- ontologies
- type theory
- knowledge representation
- automated reasoning
- natural language generation
- knowledge representation
Publication and Content Type
- ref (subject category)
- kon (subject category)
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