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Knowledge acquisition for knowledge-based systems: Notes on the state-of-the-art

John H. Boose, Brian R. Gaines
1989 Machine Learning  
Then the technology of interactive knowledge acquisition is discussed, including a descriptive framework, dimensions of use, and research patterns.  ...  Notes from the organizers of a series of knowledge acquisition workshops are presented here. The state-of-the-art in knowledge acquisition research is briefly described.  ...  What general knowledge acquisition techniques are employed?  ... 
doi:10.1007/bf00130720 fatcat:d2x7aaekfjcqpp7qzzsogapmva

Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the-Art [chapter]

John H. Boose, Brian R. Gaines
1989 Knowledge Acquisition: Selected Research and Commentary  
Then the technology of interactive knowledge acquisition is discussed, including a descriptive framework, dimensions of use, and research patterns.  ...  Notes from the organizers of a series of knowledge acquisition workshops are presented here. The state-of-the-art in knowledge acquisition research is briefly described.  ...  What general knowledge acquisition techniques are employed?  ... 
doi:10.1007/978-1-4613-1531-5_10 fatcat:5etchesjwfcolgwcuzxi7aav3e

Selection of knowledge acquisition techniques based upon the problem domain characteristics of production and operations management expert systems

William P. Wagner, Mohammad K. Najdawi, Q.B. Chung
2001 Expert systems  
In this paper 76 we present a mapping between these empirical studies and a generic taxonomy of expert system problem domains.  ...  However, empirical research in the field of expert systems reveals that certain knowledge acquisition techniques are significantly more efficient than others in helping to extract certain types of knowledge  ...  to guide developers of P/OM expert systems in their choice of knowledge acquisition techniques.  ... 
doi:10.1111/1468-0394.00159 fatcat:gcwq5kprljdafmwsuwwz6j3onq

KRITON: a knowledge-acquisition tool for expert systems

Joachim Diederich, Ingo Ruhmann, Mark May
1987 International Journal of Man-Machine Studies  
A hybrid system for automatic knowledge acquisition for expert systems is presented.  ...  For the elicitation of human declarative knowledge, the tool contains automated interview methods. The acquisition of human procedural knowledge is achieved by protocol analysis techniques.  ...  A first application of the system is planned for the second half of 1986. Application domain is an expert system for planning and configuration of bureau equipment.  ... 
doi:10.1016/s0020-7373(87)80033-0 fatcat:pt4urbuyz5czddpd6eafpidfsa

Introduction: A sampler in knowledge acquisition for the machine learning community

Sandra Marcus
1989 Machine Learning  
I think most of us in knowledge acquisition would agree that our goal is to make expert systems easier to build and maintain and, along the way, to make the expert systems built more explainable, more  ...  In general, machine learning techniques are appreciated in the knowledge acquisition field only according to their ability to achieve practical results.  ... 
doi:10.1007/bf00130711 fatcat:ujfzwkhlv5eyxd766f6qeu6bmy

Knowledge Acquisition in the Development of a Large Expert System

David S. Prerau
1987 The AI Magazine  
Conclusions This article presented several effective techniques for knowledge acquisition and some of the details of a real expert system knowledge-acquisition process.  ...  Developers of future expert systems should find a description of proven knowledge-acquisition techniques and an account of the experience of the COMPASS project in applying these techniques to be useful  ...  and the implementation Use of this technique also facilitates implementation.  ... 
dblp:journals/aim/Prerau87 fatcat:5ntgasc3l5hw3aufbunco73boi

Knowledge acquisition for explainable, multi-expert, knowledge-based design systems [chapter]

Rose Dieng, Alain Giboin, Paul-André Tourtier, Olivier Corby
1992 Lecture Notes in Computer Science  
between knowledge acquisition and explanations, knowledge acquisition from multiple experts and methodological aspects.  ...  between knowledge acquisition and explanations, knowledge acquisition from multiple experts and methodological aspects.  ...  For a second generation expert system, once acquired, the deep knowledge (i.e causal model or qualitative model of a system) will be available for later explanations.  ... 
doi:10.1007/3-540-55546-3_47 fatcat:2iawzsmyfjeujcd7dejhtjagzq

Exemplar-based knowledge acquisition

Yoram Reich
1991 Machine Learning  
CL-Protos allows a much more elaborate language, including recursive definitions of terms with both nominal and numeric components, quantifiers and relations.  ...  Acknowledgments I would like to thank Bruce Porter for providing additional material on PROTOS and to Alberto Segre for his comments on a draft of this review. Notes 1.  ...  Introduction Exemplar-Based Knowledge Acquisition is about the design, construction and testing of the PROTOS knowledge acquisition system for classification tasks in weak domain theories.  ... 
doi:10.1007/bf00153763 fatcat:xbrirk2h3jen5oha6hfasuco7q

A Pragmatic Knowledge Acquisition Methodology

Mark D. Grover
1983 International Joint Conference on Artificial Intelligence  
A formal, but pragmatic, method of recording and organizing human expertise into a knowledge-based system is presented.  ...  Practical considerations and methods which increase system validity while minimizing demands on human domain specialists are explored.  ...  II KNOWLEDGE ACQUISITION CYCLE Although generally undocumented, many knowledge acquisition techniques are intuitive, common practices.  ... 
dblp:conf/ijcai/Grover83 fatcat:yk4i4ikwarfh7jpjna4kkac2xq

Knowledge Acquisition Methodologies: Survey and Empirical Assessment

Martha Grabowski
1988 International Conference on Information Systems  
Knowledge acquisition, the process of extracting information from human experts, is one of the challenges in building expert systems.  ...  This paper surveys the available knowledge acquisition techniques and describes a knowledge acquisition experiment which contrasts three of these methods.  ...  knowledge acquisition techniques, and lays the foundation for a pragmatic knowledge acquisition methodology, long needed by informa-2.1 Inteniews tion systems and expert systems researchers and practitioners  ... 
dblp:conf/icis/Grabowski88 fatcat:lxnzdiaoyjdnnhf72taz2gehim

The acquisition of a shared task model [chapter]

Frances Brazier, Jan Treur, Niek Wijngaards
1996 Lecture Notes in Computer Science  
The process of the acquisition of an agreed, shared task model as a means to structure interaction between expert users and knowledge engineers is described.  ...  In both domains different levels of interaction between an expert user and a diagnostic reasoning system are distinguished.  ...  on meta-knowledge) for design tasks" and NWO-SION within project 612-322-316, "Evolutionary design in knowledge-based systems".  ... 
doi:10.1007/3-540-61273-4_18 fatcat:cguls7syxvhrzhbwoyclspy2wi

Knowledge Acquisition Based on Repertory Grid Analysis System

Be Nue, Sabai Win
2019 Zenodo  
Repertory grids are used as knowledge acquisition tools in the development of expert system. The rating of knowledge acquisition is gaining insight into expert's mental model of the problem.  ...  Repertory grid has the cognitive psychological basis and generality needed to provide excellent elicitation and acquisition facilities.  ...  Repertory grids are well-established as a general and powerful knowledge elicitation and acquisition technique to support classification.  ... 
doi:10.5281/zenodo.3587954 fatcat:wz2mfhsx2fhynbcxkageneiiju

CECoS: A case experience combination system for knowledge acquisition for expert systems

Ralph Bergmann, Franz Schmalhofer
1991 Behavoir research methods, instruments & computers  
This paper presents a new knowledge-acquisition system-the Case Experience Combination System (CECoS). With CECoS, two information or knowledge sources are jointly analyzed.  ...  By combining the detailed case information with an expert's general insights, CECoS provides the domain knowledge with which-skeletal plans can be automatically constructed.  ...  Within the last decade, knowledge acquisition has emerged as an importantarea in the field of expert-system development.  ... 
doi:10.3758/bf03203357 fatcat:vfg6q5zptjefba6uhzoupep6li

Integrating Machine Learning with Knowledge Acquisition [chapter]

G WEBB
2002 Expert Systems  
TECHNIQUES One of the primary design considerations for The Knowledge Factory was to allow direct interaction between the knowledge acquisition system and an expert with minimal computing expertise.  ...  Two primary approaches to knowledge acquisition are elicitation of knowledge from experts (traditional knowledge acquisition) and machine learning. Both approaches have strengths and weaknesses.  ...  In the second pass through the initial rules, they are generalised as much as possible to cover further positive cases. Any cases so covered are also deleted.  ... 
doi:10.1016/b978-012443880-4/50070-3 fatcat:7sdflu2y3vaxnp5bwuopvrurae

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Geoffrey I. Webb, Jason Wells, Zijian Zheng
2012 Machine Learning  
They also provided favorable evaluations of both the specific integrated software, a system called The Knowledge Factory, and of the general value of machine learning for knowledge acquisition.  ...  Machine learning and knowledge acquisition from experts have distinct capabilities that appear to complement one another.  ...  We are grateful to Tim Menzies for encouraging us to use undergraduate students as experimental subjects for knowledge acquisition research.  ... 
doi:10.1023/a:1007504102006 fatcat:wbortcuvbvcyzk7xl6scqv32wy
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