Design and Implementation of Direct Manipulative and Deictic User Interfaces to Knowledge Based Systems**The workdescribed in this paper has been carried out in the context of the ESPRIT project (107) ‘A Logic oriented Approach to Data and Knowledge Bases Supporting Natural User Interaction’ and is partly supported by the Commission of the European Communities.

1987 ◽  
pp. 1067-1073 ◽  
Author(s):  
K.H. Hanne ◽  
A. Gräble
Keyword(s):  
User Interfaces ◽  
User Interaction ◽  
Knowledge Bases ◽  
Knowledge Based Systems ◽  
Design And Implementation ◽  
Knowledge Based ◽  
Oriented Approach

scholarly journals Supporting Creative Mechanical Design

1994 ◽  
Author(s):  
Kun Sun ◽  
Boi Faltings
Keyword(s):  
Mechanical Design ◽  
Knowledge Bases ◽  
Creative Design ◽  
Knowledge Based Systems ◽  
Cad Systems ◽  
Knowledge Based ◽  
Logical Language ◽  
Promising Application ◽  
Qualitative Physics ◽  
And Function

Abstract Knowledge-based CAD systems limit designers’ creativity by constraining them to work with the prototypes provided by the systems’ knowledge bases. We investigate knowledge-based CAD systems capable of supporting creative designs in the example domain of elementary mechanisms. We present a technique based on qualitative explanations which allows a designer to extend the knowledge base by demonstrating a structure which implements a function in a creative way. Structure is defined as the geometry of the parts, and function using a general logical language based on qualitative physics. We argue that the technique can accommodate any creative design in the example domain, and we demonstrate the technique using an example of a creative design. The use of qualitative physics as a tool for extensible knowledge-based systems points out a new and promising application area for qualitative physics.

Design and Implementation of an Intelligent CAD System

1987 ◽  
Author(s):  
M. J. Jakiela ◽  
P. Y. Papalambros
Keyword(s):  
Computer Aided Design ◽  
Design System ◽  
Knowledge Based Systems ◽  
Production Rules ◽  
Automated Assembly ◽  
Cad System ◽  
Design And Implementation ◽  
Knowledge Based ◽  
System Requirements ◽  
Aided Design

Abstract System requirements and system design for integrating a production rule program and a computer aided design system are presented. An implementation using a commercially available graphics modeling system is described. A “suggestive mode” interface is programmed as an example with application to design for automated assembly. Initial use of the implementation indicates that encoding production rules is more difficult than with conventional text-only knowledge-based systems, but that this system is a more effective way to use artificial intelligence techniques in design.

The Organization of Organizations: Issues for Next-Generation Office IT

1994 ◽  
Vol 9 (2) ◽  
pp. 99-117 ◽  
Author(s):  
Chris Hutchison ◽  
Duska Rosenberg
Keyword(s):  
Group Work ◽  
Group Decision ◽  
User Interaction ◽  
Group Decision Support ◽  
Group Decision Support Systems ◽  
Cooperative Group ◽  
Knowledge Based Systems ◽  
Next Generation ◽  
Formal Modelling ◽  
Knowledge Based

The emerging new breed of IS (group decision support systems and decision simulation, multimedia, next-generation knowledge-based systems, deductive databases and DBMSs, and such like, together with the evolving networking capabilities) will have a more significant impact on the way people work than have ‘conventional’ IT products. This will have implications for what one might call the ‘cognitive style’ of the user interaction. This paper describes further a view of the organization of organizations that has already been sketched briefly elsewhere (Hutchison & Rosenberg, 1993; Hutchison, 1994), and proposes a strategy for the formal modelling of cooperative group work.

Altering the SightPlan knowledge-based systems

1992 ◽  
Vol 6 (1) ◽  
pp. 19-37 ◽  
Author(s):  
I. D. Tommelein ◽  
B. Hayes-Roth ◽  
R. E. Levitt
Keyword(s):  
Problem Solving ◽  
Knowledge Bases ◽  
Knowledge Based Systems ◽  
Knowledge Domain ◽  
Task Knowledge ◽  
Knowledge Based ◽  
Site Layout ◽  
Different Types ◽  
Control Knowledge ◽  
Construction Site Layout

SightPlan refers to several knowledge-based systems that address construction site layout. Five different versions were implemented and their components of expertise are described here. These systems are alterations of one another, differing either in the problems they solve, the problem-solving methods they apply, or the tasks they address. Because they share either control knowledge, domain concepts, or heuristics, and such knowledge is implemented in well-defined modular knowledge bases, these systems could easily re-use parts of one another. Experiments like those presented here may clarify the role played by different types of knowledge during problem solving, enabling researchers to gain a broader understanding of the generality of the domain and task knowledge that is embedded in KBSs and of the power of their systems.

Knowledge Extraction from Domain-Specific Documents

2017 ◽  
pp. 106-123
Author(s):  
Ram Kumar ◽  
Shailesh Jaloree ◽  
R. S. Thakur
Keyword(s):  
Knowledge Representation ◽  
Knowledge Base ◽  
Knowledge Bases ◽  
Domain Ontology ◽  
Knowledge Based Systems ◽  
Domain Specific ◽  
Knowledge Based ◽  
Representation Systems ◽  
Terminological Confusion ◽  
Knowledge Representation Systems

Knowledge-based systems have become widespread in modern years. Knowledge-base developers need to be able to share and reuse knowledge bases that they build. As a result, interoperability among different knowledge-representation systems is essential. Domain ontology seeks to reduce conceptual and terminological confusion among users who need to share various kind of information. This paper shows how these structures make it possible to bridge the gap between standard objects and Knowledge-based Systems.

Comparison of implemented ontologies

1995 ◽  
Vol 10 (1) ◽  
pp. 67-68
Author(s):  
Nicolaas J. I. Mars
Keyword(s):  
Knowledge Bases ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Empirical Determination ◽  
Developing Knowledge

A number of groups developing knowledge-based systems have found (or at least posited) that the design and representation of a limitative set of concepts and relations, a so-called ontology, can contribute to sharing and reusing knowledge bases. However, very few descriptions of implemented ontologies have appeared in the literature. No comparison of competing proposals is available, let alone an empirical determination of the benefits of using an ontology. There is no accepted method for designing and building such ontologies, nor is it clear how ontologies can best be evaluated.

scholarly journals Towards a Notion of Basis for Knowledge-Based Systems—Applications

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 252
Author(s):  
Gonzalo A. Aranda-Corral ◽  
Joaquín Borrego-Díaz ◽  
Juan Galán-Páez ◽  
Daniel Rodríguez-Chavarría
Keyword(s):  
Computer Algebra ◽  
Propositional Logic ◽  
Knowledge Bases ◽  
Point Of View ◽  
Knowledge Based Systems ◽  
Weak Base ◽  
Knowledge Based ◽  
Weak Bases

In the paradigm of Knowledge-Based Systems (KBS), the design of methods to simplify the reasoning leads to more efficient processes. A point of view that provides valuable insights is the algebraic one. In this work, a notion of basis (and dimension) for Knowledge Bases in Propositional Logic associated with knowledge forgetting is introduced. It is based on ideas that come from the translation of such logic in (Computer) Algebra, particularly from the interpretation of variable forgetting. In this paper, the concept of weak base is defined as a set of variables sufficient to decide the consistency using variable forgetting. Several applications of weak bases are presented in order to show their usefulness in KBS reasoning and to justify their study and use in solving problems within this topic.

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