  Using the database of the PuertoTerm project, an indexing system based on the
cognitive model of Brigitte Enders was built. By analyzing the cognitive
strategies of three abstractors, we built an automat that serves to simulate
human indexing processes. The automat allows the texts integrated in the system
to be assessed, evaluated and grouped by means of the bipartite spectral graph
partitioning algorithm, which also permits visualization of the terms and the
documents. The system features an ontology and a database to enhance its
operativity. As a result of the application, we achieved better rates of
exhaustivity in the indexing of documents, as well as greater precision and
retrieval of information, with high levels of efficiency.
