An investigation of content representation using text grammars
ACM Transactions on Information Systems (TOIS)
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
TextNet – A text-based intelligent system
Natural Language Engineering
Case learning for CBR-based collision avoidance systems
Applied Intelligence
VPRS-Based Group Decision-Making for Risk Response in Petroleum Investment
International Journal of Knowledge and Systems Science
Experience transfer for process improvement
Engineering Applications of Artificial Intelligence
An overview of case-based reasoning applications in drilling engineering
Artificial Intelligence Review
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A case base system for a complex problem like oil field design needs to be richer than the usual case based reasoning system. Genesis, the system described in this paper contains large heterogeneous cases with metalevel knowledge. A multi-level indexing scheme with both preallocated and dynamically computed indexing capability has been implemented. A user interface allows dynamic creation of similarity measures based on modelling of the user's intentions. Both user aiding and problem solution facilities are supported, a novel feature is that risk estimates are also provided. Performance testing indicates that the case base produces on average, better predictions for new well developments than company experts. Early versions of the system have been deployed into oil companies in 6 countries around the world and research is continuing on refining the system in response to industry feedback.