A dictionary based on concept coherence
Artificial Intelligence
Natural-language retrieval of images based on descriptive captions
ACM Transactions on Information Systems (TOIS)
Access to Multimedia Information through Multisource and Multilanguage Information Extraction
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
MindNet: acquiring and structuring semantic information from text
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Independence and commitment: assumptions for rapid training and execution of rule-based POS taggers
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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In this paper we present a new approach to the automatic semantic indexing of digital photographs based on the extraction of logic relations from their textual descriptions. The method is based on shallow parsing and propositional analysis of the descriptions using an ontology for the domain of application. We describe the semantic representation formalism, the ontology, and the algorithms involved in the automatic derivation of semantic indexes from texts linked to images. The method has been integrated into the Scene of the Crime Information System, a crime management system for storing, indexing and retrieval of crime information.