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A methodology for the computer-aided cleaning of complex knowledge databases

 

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Author: Alonso Jiménez, José Antonio
Borrego Díaz, Joaquín
Chávez González, Antonia María
Gutiérrez Naranjo, Miguel Ángel
Navarro Marín, Jorge D.
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Date: 2002
Published in: IECON 2002: IEEE 2002 28th Annual Conference of the Industrial Electronics Society (2002), p 1806-1811
ISBN/ISSN: 0-7803-7474-6
Document type: Presentation
Abstract: In environments with complex cognitive structure (such as semantic web or sophisticated spatial databases for geographical information systems), classical methods for detecting anomalies can be inadequate. In this paper the use of an automated theorem prover to detect anomalies in knowledge bases within a complex ontology is proposed. The authors argue that it will need to integrate such systems in some intelligent agents. The loss of real-time execution in some cases. is discussed with examples.
Cite: Alonso Jiménez, J.A., Borrego Díaz, J., Chávez González, A.M., Gutiérrez Naranjo, M.Á. y Navarro Marín, J.D. (2002). A methodology for the computer-aided cleaning of complex knowledge databases. En IECON 2002: IEEE 2002 28th Annual Conference of the Industrial Electronics Society (1806-1811), Sevilla, Spain: IEEE Computer Society.
Size: 394.8Kb
Format: PDF

URI: https://hdl.handle.net/11441/75952

DOI: 10.1109/IECON.2002.1185245

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