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BiblioTECA (LIB-2023) was launched in January 1994 and was finished by December 1995.

The project was carried out by a consortium formed by Matra Caps Systèmes - (Paris) - Unidad de Coordinación de Bibliotecas CSIC (Madrid) - Instituto Cervantes - (Alcalá de Henares) - Biblioteca Nazionale V. E. III (Naples) - Verba Logica. Universidad Complutense de Madrid (coordinating partner).

Biblioteca goals were to devise a toolbox that allows an easy analysis of the text structure underlying bibliographic documents such as bibliographies, printed catalogues, tables of content, indexes, bibliographic records, etc.

The immediate goal was to represent textual information in a standard system for information structuring (SGML). The intended use, to enhance bibliographic references and allow an easy access to information originally expressed in different media and/or formats.

To reach these goals we devise a system in which two modules were integrated: an Intelligent Document Reading system (IDR) and an Automatic Field Compositional Analysis (AFCA) module.

These two modules, linked through files, define the system final architecture. IDR performs the optical character reading while AFCA carries out the document analysis into informational units and transfers the resulting structure to a SGML coding. To this end, a very high level language for document description (LENDEX) was designed and incorporated to AFCA. LENDEX allows easy document structure descriptions. AFCA compiles LENDEX document descriptions into a parser for the document class. It is this parser that performs the actual document analysis.

The resulting system can operate in a single as well in several networked PCs.

Both modules have an ergonomic, user friendly Windows-based interface and include two correction submodules. One specialises in IDR output correction and the other in AFCA correction. In both cases the correction process is, to a certain extent, machine guided.

As test cases we used a wide collection of reference documents, including bibliographic cards, entries in thesaurus, title and author indexes, tables of content, records from different printed catalogues and bibliographic cards. The AFCA module has been tested also in the automatic retrospective conversion of the whole cards catalogue from a university library (35.000 records).

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