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.
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Rubiolo, M., Caliusco, M.L., Stegmayer, G., Gareli, M., Coronel, M. (2009). Knowledge Source Discovery: An Experience Using Ontologies, WordNet and Artificial Neural Networks. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_9
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DOI: https://doi.org/10.1007/978-3-642-04592-9_9
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