Knowledge Source Discovery: An Experience Using Ontologies, WordNet and Artificial Neural Networks

Authors:
Mariano Rubiolo;María Laura Caliusco;Georgina Stegmayer;Matías Gareli;Mauricio Coronel
Affiliations:
CIDISI-UTN-FRSF, Santa Fe, Argentina;CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina;CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina;CIDISI-UTN-FRSF, Santa Fe, Argentina;CIDISI-UTN-FRSF, Santa Fe, Argentina
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

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Abstract

This paper describes our continuing research on ontology-based knowledge source discovery on the Semantic Web. The research documented here is focused on discovering distributed knowledge sources from a user query using an Artificial Neural Network model. An experience using the Wordnet multilingual database for the translation of the terms extracted from the user query and for their codification is presented here. Preliminary results provide us with the conviction that combining ANN with WordNet has clearly made the system much more efficient.