Name
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45869-7_45 | Document Analysis Systems |
Keywords | Field | DocType |
search engine,extended concept,preliminary implementation,word similarity measure,ocr documents,general logical imaging | Architecture,Latent semantic indexing,Search engine,Information retrieval,Character recognition,Computer science,Database search engine,Optical character recognition,Real-time computing,Artificial intelligence,Bayes' theorem,Unary coding | Conference |
Volume | ISSN | ISBN |
2423 | 0302-9743 | 3-540-44068-2 |
Citations | PageRank | References |
4 | 0.55 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazem Taghva | 1 | 350 | 43.51 |
| jeffrey coombs | 2 | 89 | 7.73 |