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Hairetes: A search engine for OCR documents

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2002) 2423 412-422
DOI: 10.1007/3-540-45869-7_45
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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.

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Taghva, K., & Coombs, J. (2002). Hairetes: A search engine for OCR documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2423, pp. 412–422). Springer Verlag. https://doi.org/10.1007/3-540-45869-7_45

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