Hairetes: A Search Engine for OCR Documents
Identifieur interne : 001897 ( Main/Exploration ); précédent : 001896; suivant : 001898Hairetes: A Search Engine for OCR Documents
Auteurs : Kazem Taghva [États-Unis] ; Jeffrey Coombs [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2002.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Abstract: In this paper, we report on the architecture and preliminary implementation of our search engine, Hairetes. This engine is based on an extended concept of Retrieval by General Logical Imaging (RbGLI). In this extension, word similarity measures are computed by EMIM and Bayes’ theorem.
Url:
DOI: 10.1007/3-540-45869-7_45
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: In this paper, we report on the architecture and preliminary implementation of our search engine, Hairetes. This engine is based on an extended concept of Retrieval by General Logical Imaging (RbGLI). In this extension, word similarity measures are computed by EMIM and Bayes’ theorem.</div>
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