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Automated Support for Building and Extending Expert Models [chapter]

Mark A. Musen
1989 Knowledge Acquisition: Selected Research and Commentary  
Workers in the area of knowledge acquisition have developed computer-based tools that emphasize either the building of new models or the extension of existing models.  ...  The PROTEGE knowledge-acquisition system addresses these two activities individually and facilitates the construction of expert systems when the same general model can be applied to a variety of application  ...  We also could refer to each situation in which the model applies as an instantiation, although many authors reserve that word for descriptions of symbols within a knowledge-representation language.  ... 
doi:10.1007/978-1-4613-1531-5_9 fatcat:ryk3b3vpqjfxlf246okpqzkh4m

Automated support for building and extending expert models

Mark A. Musen
1989 Machine Learning  
Workers in the area of knowledge acquisition have developed computer-based tools that emphasize either the building of new models or the extension of existing models.  ...  The PROT/~GI~ knowledge-acquisition system addresses these two activities individually and facilitates the construction of expert systems when the same general model can be applied to a variety of application  ...  We also could refer to each situation in which the model applies as an instantiation, although many authors reserve that word for descriptions of symbols within a knowledge-representation language.  ... 
doi:10.1007/bf00130719 fatcat:7z7edojiwvcgvfxdw3ohnn3xye

A multiple-method knowledge-acquisition shell for the automatic generation of knowledge-acquisition tools

Angel R Puerta, John W Egar, Samson W Tu, Mark A Musen
1992 Knowledge Acquistion  
PROTÉGÉ-II is a knowledge-acquisition shell that we are building to generate knowledge-acquisition tools automatically without presupposing a specific model of problem-solving.  ...  These tools are able to generate knowledge-acquisition tools automatically from a model of a task.  ...  We thank John Dawes, Josef Schreiner, Yuval Shahar, and James Winkles for their insightful comments, Andrew Bennett for his work in developing FormIKA, and Lyn Dupré for her extensive editing of a previous  ... 
doi:10.1016/1042-8143(92)90025-v fatcat:6kta4dus55gupa7zlx6ivojxry

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

John H. Boose, Brian R. Gaines
1989 Machine Learning  
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.  ...  Finally, dissemination of information from knowledge acquisition workshops is detailed.  ...  models, cognitive models, conceptual models, mediat- ing representations, task-level models)-use or generate models of the domain, possibly independent of a tool or a specific application • Consistency  ... 
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  
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.  ...  Finally, dissemination of information from knowledge acquisition workshops is detailed.  ...  models, cognitive models, conceptual models, mediat- ing representations, task-level models)-use or generate models of the domain, possibly independent of a tool or a specific application • Consistency  ... 
doi:10.1007/978-1-4613-1531-5_10 fatcat:5etchesjwfcolgwcuzxi7aav3e

A comparison of two approaches to model-based knowledge acquisition [chapter]

Dieter Fensel, Karsten Poeck
1994 Lecture Notes in Computer Science  
Role limiting shells are implementations of strong problem-solving methods and substantially simplify knowledge acquisition through guidance by predefined models of problem-solving and by sophisticated  ...  This paper discusses and compares two different approaches to model-based knowledge acquisition.  ...  Acknowledgement We thank Jürgen Angele and Dieter Landes who participated on our Sisyphus-II case study, Gabi Rudnick for partial correction of our manuscript, and two anonymous referees for helpful comments  ... 
doi:10.1007/3-540-58487-0_3 fatcat:ccrlrdqkbzfqvpr7dw3hbklehu

Task modeling with reusable problem-solving methods

Henrik Eriksson, Yuval Shahar, Samson W. Tu, Angel R. Puerta, Mark A. Musen
1995 Artificial Intelligence  
The board-game method is a problem-solving method that defines control knowledge for a class of tasks that developers can model in a highly specific way.  ...  In addition, PROTBGB-II generates domain-specific knowledge-acquisition tools that domain specialists can use to create knowledge bases on which the methods may operate.  ...  We thank John Gennari, Marc Linster, Thomas Rothenfluh, and Eckart Walther for their comments on a previous draft of this article.  ... 
doi:10.1016/0004-3702(94)00040-9 fatcat:e57xojpwrfesjhidwtoqls6cxi

KA-Tool and domain construction for AI planning applications [chapter]

Ruth Aylett, Christophe Doniat
2003 Research and Development in Intelligent Systems XIX  
KA Tool embodies work aimed at allowing domain experts to generate a domain model for an AI planning system, carried out as part of a larger project to build an integrated set of tools for supporting AI  ...  A Domain model is generated in which can be represented by cluster of constraints shaping an Ontology of each studied case.  ...  Subjects were asked to explore the generic domain model that would be needed to plan within the domain of the problem specification and to support the solving of a number of specific tasks.  ... 
doi:10.1007/978-1-4471-0651-7_21 fatcat:ity7hvp5lvbqlkubz6mkwfgfeq

Reusable ontologies, knowledge-acquisition tools, and performance systems: PROTÉGÉ-II solutions to Sisyphus-2

Thomas E. Rothenfluh, John H. Gennari, Henrik Eriksson, Angel R. Puerta, Samson W. Tu, Mark A. Musen
1996 International Journal of Human-Computer Studies  
PROTÉGÉ-II is a knowledge-engineering environment that focuses on the use of reusable ontologies and problem-solving methods to generate task-specific knowledge-acquisition tools and executable problem  ...  We entered domain-specific knowledge about elevator configuration into the knowledge base with the help of a task-specific knowledge-acquisition tool that was generated from the ontologies.  ...  Discussions with Tom Gruber and Jay Runkel helped us to understand the ontologies for Sisyphus-2; their encoding of the domain knowledge in computer files provided a useful starting point for our prototyping  ... 
doi:10.1006/ijhc.1996.0017 fatcat:np7y644jjrecpi6qlfizjfg6lu

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  
After a brief description of our previous knowledge acquisition tool 3DKAT, we will present the primitives of KATEMES and the problems we intend to study and the ideas we intend to deepen about the link  ...  Notice that very few knowledge acquisition tools concern design task, that is considered as very difficult to tackle: DSPL ACQUIRER [13] , SALT[51], CANARD [69].  ...  Some knowledge acquisition tools don't rely on the problem class while other researchers focus on a given problem class by proposing tools dedicated to this problem class: for example, SALT [50, 51]  ... 
doi:10.1007/3-540-55546-3_47 fatcat:2iawzsmyfjeujcd7dejhtjagzq

A problem-solving model for episodic skeletal-plan refinement

Samson W Tu, Yuval Shahar, John Dawes, James Winkles, Angel R Puerta, Mark A Musen
1992 Knowledge Acquistion  
We show how such a model of problem solving can drive the generation of knowledge-acquisition tools.  ...  PROTÉGÉ is a metalevel program that generates knowledge-acquisition tools that are based on the method of skeletal-plan refinement.  ...  Using this task model, PROTÉGÉ generates a knowledge-acquisition tool specialized for the task in the domain.  ... 
doi:10.1016/1042-8143(92)90026-w fatcat:wt67snfvbvbwdobogyjwxk2rw4

DIDS: rapidly prototyping configuration design systems

Alan Balkany, William P. Birmingham, Bruce Maxim, Jay T. Runkel, Iris D. Tommelein
1994 Journal of Intelligent Manufacturing  
A DIDS user begins by creating a model of the problem domain and the task to be automated.  ...  The use of DIDS is illustrated by showing how DIDS solved an elevator-configuration problem.  ...  The opinions expressed in this paper are those of the authors, and do not necessarily reflect those of Digital Equipment Corporation or NSF.  ... 
doi:10.1007/bf00124685 fatcat:otzuekwhf5b3hkeleyr3iep2re

Configuration irrigation schedule based on expert systems and operations research

Iman Hassen, Mohamed Rasmy, Ahmed Rafea
2004 IFAC Proceedings Volumes  
This paper presents configuration design knowledge to solve irrigation scheduling problem in agriculture domain and a general approach for configuration management knowledge.  ...  By integrating Dynamic programming and inference knowledge, with demand including different objective, that it is used in generating the inference steps (PPSM) to select the suitable components of the  ...  A problem solving method can be defined as a knowledge-use-level characterization of how a task might be solved. It can also be seen as an abstract model of how to solve certain problem.  ... 
doi:10.1016/s1474-6670(17)38687-1 fatcat:jlgzgmpdinddfcch4pxxum7rsu

INTEGRATED KNOWLEDGE ACQUISITION FROM TEXT, PREVIOUSLY SOLVED CASES, AND EXPERT MEMORIES

FRANZ SCHMALHOFER, OTTO KÜHN, GABRIELE SCHMIDT
1991 Applied Artificial Intelligence  
The overall goal is to construct systems with technical knowledge and common sense which -by using AI methods -implement a problem solution for a selected application area.  ...  The DFKI hosts technology transfer workshops for shareholders and other interested groups in order to inform about the current state of research.  ...  Special thanks are due to Ralph Bergmann for his assistance in elaborating our ideas.  ... 
doi:10.1080/08839519108927932 fatcat:o5zrk6n3uzh33jjbuqu7ymt5uq

An integrated environment for knowledge acquisition

Jim Blythe, Jihie Kim, Surya Ramachandran, Yolanda Gil
2001 Proceedings of the 6th international conference on Intelligent user interfaces - IUI '01  
This paper describes an integrated acquisition interface that includes several techniques previously developed to support users in various ways as they add new knowledge to an intelligent system.  ...  As a result of this integration, the individual techniques can take better advantage of the context in which they are invoked and provide stronger guidance to users.  ...  ACKNOWLEDGMENTS We gratefully acknowledge the support of DARPA with grant F30602-97-1-0195 as part of the DARPA High Performance Knowledge Bases program, and with grant F30602-00-2-0513 as part of the  ... 
doi:10.1145/359784.359819 dblp:conf/iui/BlytheKRG01 fatcat:qq5wjkb47ffjfimu62ejnit7qi
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