Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Computational Linguistics
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Partial parsing via finite-state cascades
Natural Language Engineering
On Measuring Similarity for Conceptual Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
An ontology-based view on prepositional senses
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
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This paper describes a method and a system ONTOQUERY 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 need not 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.