An approach to natural language for document retrieval
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Solving grammatical ambiguities within a surface syntactical parser for automatic indexing
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
The modelling and retrieval of documents using index expressions
ACM SIGIR Forum
SPIDER: a multiuser information retrieval system for semistructured and dynamic data
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Modeling vagueness in information retrieval
Lectures on information retrieval
Modeling Vagueness in Information Retrieval
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
A multifacet formal image model for information retrieval
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
Incomplete and fuzzy conceptual graphs to automatically index medical reports
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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This paper focuses on the RIME system aimed to the indexing of medical reports in a multimedia environment. This particular application is viewed as representative of a large set of still unanswered needs of large communities of users: domain experts dealing with on-line specialized documentation such as software engineers, medical specialists and so on. In this application textual information appears as an interesting media to access related pictures in the data base. After the presentation of the application and a study of the particular corpus involved we define a semantic model for the documents which is based on a Conceptual Language. Then we detail the indexing process and its various linguistic components which perform the translation of every medical report according to this semantic model.