Raspe – Risk Advisory Smart System For Pipeline Projects In Egypt
Record type:
softwarepaper
Creator:
ZabGeoMoh
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Host:
A knowledge-based expert system with the acronym
RASPE is developed as an application tool to help decision makers in
construction companies make informed decisions about managing
risks in pipeline construction projects. Choosing to use expert
systems from all available artificial intelligence techniques is due to
the fact that an expert system is more suited to representing a
domain’s knowledge and the reasoning behind domain-specific
decisions. The knowledge-based expert system can capture the
knowledge in the form of conditional rules which represent various
project scenarios and potential risk mitigation/response actions. The
built knowledge in RASPE is utilized through the underlying
inference engine that allows the firing of rules relevant to a project
scenario into consideration. Paper provides an overview of the
knowledge acquisition process and goes about describing the
knowledge structure which is divided up into four major modules.
The paper shows one module in full detail for illustration purposes
and concludes with insightful remarks. {"references": ["N. Y. Zabel, M. E. Georgy, and M. E. Ibrahim, \"Developing a Dynamic\nRisk Map (DRM) for Pipeline Construction Projects in Middle East\", in\n8th International Conference on Risk Analysis and Hazard Mitigation,\nBrebbia, C. (ed.), 175-187, Wessex Institute of Technology, UK 2012.", "M. E. Georgy, N. Y. Zabel, and M. E. Ibrahim, \"A balanced risk\ntreatment for construction projects.\" In 7th International Conference for\nStructural Engineering and Construction, Honolulu, USA, 2013.", "N. Y. Zabel. \"Risk Management of Pipeline Infrastructure Projects in\nEgypt \", MSc. Thesis, Faculty of Engineering, Cairo University, Giza,\nEgypt, 2007.", "L. K. Kaetzel, \"Highway Concrete (Hwycon) Expert System in the\nClassroom\" in Third Annual Undergraduate Faculty Enhancement\nSymposium on Teaching the Materials Science, Engineering, and Field\nAspects of Concrete, Cincinnati, Illinois, US, 1995.", "D. Merritt, \"Building Expert Systems in Prolog,\" Amazi.inc, 5861\nGreentree Road Lebanon, OH 45036 U.S., 2000.", "Y. F. Bazan, \"An Expert System For Material Claims Guidance\", Doctor\nof Philosophy Thesis, Structural Engineering Department, The Cairo\nUniversity In Giza, Egypt, 2001."]}
RASPE is developed as an application tool to help decision makers in
construction companies make informed decisions about managing
risks in pipeline construction projects. Choosing to use expert
systems from all available artificial intelligence techniques is due to
the fact that an expert system is more suited to representing a
domain’s knowledge and the reasoning behind domain-specific
decisions. The knowledge-based expert system can capture the
knowledge in the form of conditional rules which represent various
project scenarios and potential risk mitigation/response actions. The
built knowledge in RASPE is utilized through the underlying
inference engine that allows the firing of rules relevant to a project
scenario into consideration. Paper provides an overview of the
knowledge acquisition process and goes about describing the
knowledge structure which is divided up into four major modules.
The paper shows one module in full detail for illustration purposes
and concludes with insightful remarks. {"references": ["N. Y. Zabel, M. E. Georgy, and M. E. Ibrahim, \"Developing a Dynamic\nRisk Map (DRM) for Pipeline Construction Projects in Middle East\", in\n8th International Conference on Risk Analysis and Hazard Mitigation,\nBrebbia, C. (ed.), 175-187, Wessex Institute of Technology, UK 2012.", "M. E. Georgy, N. Y. Zabel, and M. E. Ibrahim, \"A balanced risk\ntreatment for construction projects.\" In 7th International Conference for\nStructural Engineering and Construction, Honolulu, USA, 2013.", "N. Y. Zabel. \"Risk Management of Pipeline Infrastructure Projects in\nEgypt \", MSc. Thesis, Faculty of Engineering, Cairo University, Giza,\nEgypt, 2007.", "L. K. Kaetzel, \"Highway Concrete (Hwycon) Expert System in the\nClassroom\" in Third Annual Undergraduate Faculty Enhancement\nSymposium on Teaching the Materials Science, Engineering, and Field\nAspects of Concrete, Cincinnati, Illinois, US, 1995.", "D. Merritt, \"Building Expert Systems in Prolog,\" Amazi.inc, 5861\nGreentree Road Lebanon, OH 45036 U.S., 2000.", "Y. F. Bazan, \"An Expert System For Material Claims Guidance\", Doctor\nof Philosophy Thesis, Structural Engineering Department, The Cairo\nUniversity In Giza, Egypt, 2001."]}