Programming in Prolog (2nd ed.)
Programming in Prolog (2nd ed.)
Prolog programming for artificial intelligence
Prolog programming for artificial intelligence
A guide to commercial artificial intelligence: fundamentals and real-world applications
A guide to commercial artificial intelligence: fundamentals and real-world applications
Knowledge systems for business: integrating expert systems & MIS
Knowledge systems for business: integrating expert systems & MIS
NL TEMPLATE: an approach and tool for building practical natural language interfaces
ACM '85 Proceedings of the 1985 ACM annual conference on The range of computing : mid-80's perspective: mid-80's perspective
ELIZA — a computer program for the study of natural language communication between man and machine
Communications of the ACM - Special 25th Anniversary Issue
Expert Systems
Natural language understanding systems within the AI paradigm: a survey and some comparisons.
Natural language understanding systems within the AI paradigm: a survey and some comparisons.
MonitoringKnowledge Acquisition Instead of Evaluating Knowledge Bases
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
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Knowledge Acquisition has historically been a bottleneck in the development of knowledge based systems. While efficient and powerful techniques have been developed for knowledge representation and processing, transferring knowledge from the problem domain into the knowledge base is characterized by the inordinate effort required by knowledge engineers; a lack of any substantial automation of the knowledge acquisition process; and in particular, the difficulty and undue complexity of the knowledge acquisition interfaces for many knowledge based systems. This paper proposes a Natural Language Interface or Front-End as a means of effective knowledge acquisition for knowledge based systems. This would have the advantage of transferring the burden of knowledge acquisition from the user to the system, while providing ease of natural language interaction to the user. By constraining such a front-end to use within limited problem domains, many of the difficulties associated with natural language processing may be avoided, while reaping the benefits of more effective knowledge acquisition. It is also recognized that the knowledge acquisition activity is one that possesses expertise of itself, and using a knowledge acquisition expert system in parallel to this front-end will likely offer further advantages in the development of part or wholly-automated knowledge acquisition.