An Automat for the Semantic Processing of Structured Information
Abstract
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.
Keywords
Cite
@article{arxiv.1208.0359,
title = {An Automat for the Semantic Processing of Structured Information},
author = {Amed Leiva-Mederos and Jose A. Senso and Sandor Dominguez-Velasco and Pedro Hipola},
journal= {arXiv preprint arXiv:1208.0359},
year = {2012}
}
Comments
IEEE Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on Date of Conference: Nov. 30 2009-Dec. 2 2009, Page(s): 85 - 89