Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
The Wealth of Knowledge: Intellectual Capital and the Twenty-first Century Organization
The Wealth of Knowledge: Intellectual Capital and the Twenty-first Century Organization
Conversational Case-Based Reasoning
Applied Intelligence
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
Troubleshooting CFM 56-3 Engines for the Boeing 737 - Using CBR and Data-Mining
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Case-Based Reasoning: Survey and Future Directions
XPS '99 Proceedings of the 5th Biannual German Conference on Knowledge-Based Systems: Knowledge-Based Systems - Survey and Future Directions
Automated case base creation and management
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
IDS: improving aircraft fleet maintenance
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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The problem of repair and maintenance of complex systems, such as aircraft, cars and trucks is a nontrivial task. Maintenance technicians must use a great amount of knowledge and information resources to solve problems that may occur. This paper describes a semi-automated tool that sorts through the mass of information that a maintenance technician must consult in order to make a repair, thus helping him decide how to tackle the problem and thereby increasing his efficiency and, possibly, his reliability. Our tool was developed using state-of-the-art Case-Based Reasoning and Information Extraction technologies. More specifically, we developed a semi-automated Case Authoring method that creates a Case-Base in two steps. It begins by extracting knowledge from readily available resources such as technical documents and follows by complementing those cases using individual experiences in the maintenance organization. The case-base developed is a reflection of the knowledge encoded in the technical documentation and an authentication of the cases with real historical instances. Our case authoring approach is applied to the real world in the aerospace domain.