Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Building a large-scale knowledge base for machine translation
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
How reliable are the results of large-scale information retrieval experiments?
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Exploring human judgement of digital imagery
ACSC '07 Proceedings of the thirtieth Australasian conference on Computer science - Volume 62
Patterns of semantic relations to improve image content search
Web Semantics: Science, Services and Agents on the World Wide Web
A method to convert thesauri to SKOS
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Adding Semantics to Detectors for Video Retrieval
IEEE Transactions on Multimedia
Hi-index | 0.00 |
In many archives of audiovisual documents, retrieval is done using metadata from a structured vocabulary or thesaurus. In practice, many of these thesauri have limited or no structure. The objective of this paper is to find out whether retrieval of audiovisual resources from a collection indexed with an in-house thesaurus can be improved by anchoring the thesaurus to an external, semantically richer thesaurus. We propose a method to enrich the structure of a thesaurus and we investigate its added value for retrieval purposes. We first anchor the thesaurus to an external resource, WordNet. From this anchoring we infer relations between pairs of terms in the thesaurus that were previously unrelated. We employ the enriched thesaurus in a retrieval experiment on a TRECVid 2007 dataset. The results are promising: with simple techniques we are able to enrich a thesaurus in such a way that it adds to retrieval performance.