A conceptual model to facilitate knowledge sharing for bulking solving in wastewater treatment plants

  • Authors:

  • U. Cortés;M. Martínez;J. Comas;M. Sànchez-Marrè;M. Poch;I. Rodríguez-Roda

  • Affiliations:

  • Knowledge Engineering and Machine Learning Group, Technical University of Catalonia, Campus Nord-Edifici C5, 08034 Barcelona, Catalonia, Spain, EU E-mail: {ia, miquel}@lsi.upc.es;Chemical and Environmental Engineering Laboratory (LEQUIA), University of Girona, Campus de Montilivi, 17071 Girona, Catalonia, Spain, EU E-mail: {montse, quim, manel, ignasi}@lequia.udg.es;Chemical and Environmental Engineering Laboratory (LEQUIA), University of Girona, Campus de Montilivi, 17071 Girona, Catalonia, Spain, EU E-mail: {montse, quim, manel, ignasi}@lequia.udg.es;Knowledge Engineering and Machine Learning Group, Technical University of Catalonia, Campus Nord-Edifici C5, 08034 Barcelona, Catalonia, Spain, EU E-mail: {ia, miquel}@lsi.upc.es;Chemical and Environmental Engineering Laboratory (LEQUIA), University of Girona, Campus de Montilivi, 17071 Girona, Catalonia, Spain, EU E-mail: {montse, quim, manel, ignasi}@lequia.udg.es;Chemical and Environmental Engineering Laboratory (LEQUIA), University of Girona, Campus de Montilivi, 17071 Girona, Catalonia, Spain, EU E-mail: {montse, quim, manel, ignasi}@lequia.udg.es

  • Venue:
  • AI Communications - Binding Environmental Sciences and Artificial Intelligence
  • Year:
  • 2003

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Abstract

This paper presents and motivates the use of a given knowledge representation designed to facilitate the knowledge sharing from heterogeneous sources for problem solving in environmental processes using an Agent based technology. In order to test the feasibility of this representation (Domino Model), a common problem occurring in the wastewater treatment process has been selected (filamentous bulking).