Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/103924
Title: Content-based text querying with ontological descriptors
Authors: Andreasen, Troels
Jensen, Per Anker
Nilsson, Jørgen Fischer
Paggio, Patrizia
Pedersen, Bolette Sandford
Erdman Thomsen, Hanne
Keywords: Information retrieval
Ontologies (Information retrieval)
Terms and phrases
Ontology
Semantic web
Issue Date: 2004
Publisher: Elsevier BV
Citation: Andreasen, T., Jensen, P. A., Nilsson, J. F., Paggio, P., Pedersen, B. S., & Erdman Thomsen, E. (2004). Content-based text querying with ontological descriptors. Data & Knowledge Engineering, 48(2), 199-219.
Abstract: This paper describes a method and a system for content-based querying of texts based on the availability of an ontology for the concepts in the text domain. A key principle in the system is the extraction of conceptual content of noun phrases into descriptors forming an integral part of the ontology. The retrieval of text passages rests on matching descriptors from the text against descriptors from the noun phrases in the query. The match does not need to be exact but is mediated by the ontology, invoking in particular taxonomic reasoning with sub- and super-concepts. The paper also reports on a prototype implementation of the system.
URI: https://www.um.edu.mt/library/oar/handle/123456789/103924
ISSN: 18726933
Appears in Collections:Scholarly Works - InsLin

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