International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
KRITON: a knowledge-acquisition tool for expert systems
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
MOLE: a tenacious knowledge-acquisition tool
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
Knowledge-based knowledge acquisition for a statistical consulting system
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
KNACK—report-driven knowledge acquisition
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
Taking backtracking with a grain of SALT
International Journal of Man-Machine Studies
An overview of knowledge-acquisition and transfer
International Journal of Man-Machine Studies
KITTEN: knowledge initiation and transfer tools for experts and novices
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Refining problem-solving knowledge in repertory grids using a consultation mechanism
International Journal of Man-Machine Studies
The acquisition of strategic knowledge
The acquisition of strategic knowledge
EMCUD: a knowledge acquisition method which captures embedded meanings under uncertainty
International Journal of Man-Machine Studies
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
Diagnosis of Aphasia Using Neural And Fuzzy Techniques
Advances in Computational Intelligence and Learning: Methods and Applications
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Applied Artificial Intelligence
Considering application domain ontologies for data mining
WSEAS Transactions on Information Science and Applications
BOO: Behavior-oriented ontology to describe participant dynamics in collocated design meetings
Expert Systems with Applications: An International Journal
An expert system for improving web-based problem-solving ability of students
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
KAMET II: KAMET plus knowledge generation
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
A framework proposal for ontologies usage in marketing databases
MEDI'11 Proceedings of the First international conference on Model and data engineering
Expert Systems with Applications: An International Journal
The KAMET II methodology: Knowledge acquisition, knowledge modeling and knowledge generation
Expert Systems with Applications: An International Journal
Enhancing Wikipedia Management by Evaluation Agent System
International Journal of Advanced Pervasive and Ubiquitous Computing
Engineering Applications of Artificial Intelligence
Hi-index | 12.06 |
Knowledge acquisition has been a critical bottleneck in building knowledge-based systems. In past decades, several methods and systems have been proposed to cope with this problem. Most of these methods and systems were proposed to deal with the acquisition of domain knowledge from single expert. However, as multiple experts may have different experiences and knowledge on the same application domain, it is necessary to elicit and integrate knowledge from multiple experts in building an effective expert system. Moreover, the recent literature has depicted that ''time'' is an important parameter that might significantly affect the accuracy of inference results of an expert system; therefore, while discussing the elicitation of domain expertise from multiple experts, it becomes an challenging and important issue to take the ''time'' factor into consideration. To cope with these problems, in this study, we propose a Delphi-based approach to eliciting knowledge from multiple experts. An application on the diagnosis of Severe Acute Respiratory Syndrome has depicted the superiority of the novel approach.