scholarly journals A Kabbalah System Theory of Ontological and Knowledge Engineering for Knowledge Based Systems

2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Gabriel Burstein ◽  
Constantin Virgil
Keyword(s):  
System Theory ◽  
Knowledge Engineering ◽  
Knowledge Based Systems ◽  
Knowledge Based

Evaluation of workbenches which support the CommonKADS methodology

1995 ◽  
Vol 10 (3) ◽  
pp. 269-300 ◽  
Author(s):  
John K. C. Kingston ◽  
Jim G. Doheny ◽  
Ian M. Filby
Keyword(s):  
Knowledge Engineering ◽  
Good Knowledge ◽  
Knowledge Based Systems ◽  
Considerable Effort ◽  
Case Tools ◽  
Knowledge Based ◽  
Specific Support ◽  
Modelling Techniques ◽  
Software Engineers ◽  
Automated Support

AbstractThe KADS methodology and its successor, CommonKADS, have gained a reputation for being useful approaches to building knowledge-based systems in a manner which is both systematic and well documented. However, these methods require considerable effort to use them completely. It has been suggested that automated support for KADS or CommonKADS users, in the form of “knowledge engineering workbenches”, could be very useful. These tools would provide computerised assistance to knowledge engineers in organising and representing knowledge, in a similar fashion to the support which CASE tools provide for software engineers. To provide support for KADS or CommonKADS, the workbenches should provide specific support for the modelling techniques recommended by these methods, which are very detailed in the representation and analysis stages of knowledge engineering. A good knowledge engineering workbench should also be easy to use, should be robust and reliable, and should generate output in a presentable format.This paper reports on an evaluation of two commercially available workbenches for supporting the KADS approach: KADS Tool from ILOG and Open KADS Tool from Bull. This evaluation was carried out by AIAI as part of the CATALYST project, funded by the European Community's ESSI programme, which aimed to introduce CommonKADS to two technology-oriented companies. Information is also presented on two other workbenches: the CommonKADS workbench (which will soon become commercially available) and the VITAL workbench. The results show various strengths and weaknesses in each tool.

scholarly journals A comparison of languages which operationalize and formalize KADS models of expertise

1994 ◽  
Vol 9 (2) ◽  
pp. 105-146 ◽  
Author(s):  
Dieter Fensel ◽  
Frank van Harmelen
Keyword(s):  
Problem Solving ◽  
Rapid Prototyping ◽  
Conceptual Model ◽  
Model Evaluation ◽  
Conceptual Models ◽  
Knowledge Engineering ◽  
Future Research ◽  
Knowledge Based Systems ◽  
Research Issues ◽  
Knowledge Based

AbstractIn the field of knowledge engineering, dissatisfaction with therapid-prototypingapproach has led to a number of more principled methodologies for the contruction of knowledge-based systems. Instead of immediately implementing the gathered and interpreted knowledge in a given implementation formalism according to the rapid-prototyping approach, many such methodologies centre around the notion of a conceptual model: an abstract, implementation independent description of the relevant problem solving expertise. A conceptual model should describe the task which is solved by the system and the knowledge which is required by it. Although such conceptual models more precisely, and operationally as a means for model evaluation. In this paper, we study a number of such formal and operational languages for specifying conceptual models. To enable a meaningful comparison of such languages, we focus on languages which are all aimed at the same underlying conceptual model, namely that from the KADS method for building KBS. We describe eight formal languages for KADS models of expertise, and compare these languages with respect to their modelling primitives, their semantics, their implementations and their applications, Future research issues in the area of formal and operational specification languages for KBS are identified as the result of studying these languages. The paper also contains an extensive bibliography of research in this area.

ENHANCING THE SOFTWARE LIFE CYCLE OF KNOWLEDGE-BASED SYSTEMS USING A TASK-BASED SPECIFICATION METHODOLOGY

1993 ◽  
Vol 03 (01) ◽  
pp. 3-15 ◽  
Author(s):  
JONATHAN LEE ◽  
JOHN YEN
Keyword(s):  
Life Cycle ◽  
Knowledge Engineering ◽  
Maintenance Phase ◽  
Life Cycles ◽  
Knowledge Based Systems ◽  
Software Life Cycle ◽  
Knowledge Based ◽  
Decomposition Structure ◽  
Solution Specification ◽  
Specification Methodology

Several methodologies have been developed to enhance the software life cycle of knowledge-based systems by emphasizing on the use of both prototypes and specifications. However, these methodologies focus on the development phase of knowledge-based systems. The roles of prototypes and specifications in the maintenance phase has not been fully explored. Because a suitable problem specification for a knowledge-based system is often difficult to acquire, validating changes to non-executable solution specification during the maintenance phase can be a problem. To address this, we propose an alternative paradigm in which the prototype complements the specification throughout the life cycle. The traceability between them is facilitated by organizing both types of artifacts using a common functional decomposition structure. Based on our task-based specification methodology (TBSM), we have also developed a knowledge engineering tool (called TAME) to facilitate the acquisition and the organization of the specification and the prototype. The proposed methodology and the tool together can thus enhance the verification, validation, and the maintenance of knowledge-based systems through their life cycles.

The Application of Basic Principles of Knowledge Engineering in Knowledge Management

2010 ◽  
Vol 108-111 ◽  
pp. 123-128
Author(s):  
Ting Zeng
Keyword(s):  
Knowledge Management ◽  
Knowledge Engineering ◽  
Knowledge Based Systems ◽  
Uncertain Process ◽  
Basic Principles ◽  
Knowledge Based ◽  
Engineering Solution

Knowledge management and knowledge engineering is two important concepts, in recent years. Knowledge Engineering is the engineering solution of the system, emphasizing the process of the acquisition of knowledge and knowledge on behalf of knowledge-based systems in the uncertain process requirements. The purpose of this paper is to discuss how to use the basic principles of knowledge engineering in order to promote knowledge management.

scholarly journals ISSUES WITH META-KNOWLEDGE

2000 ◽  
Vol 10 (04) ◽  
pp. 549-555 ◽  
Author(s):  
TIM MENZIES ◽  
KLAUS-DIETER ALTHOFF ◽  
YANNIS KALFOGLOU ◽  
ENRICO MOTTA
Keyword(s):  
Problem Solving ◽  
Knowledge Engineering ◽  
Knowledge Based Systems ◽  
Reusable Components ◽  
Knowledge Based ◽  
Lively Debate

At the SEKE'99 conference, knowledge engineering researchers held a panel on the merits of meta-knowledge (i.e. problem solving methods and ontologies) for the development of knowledge-based systems. The original panel was framed as a debate on the merits of meta-knowledge for knowledge maintenance [21]. However, the debate quickly expanded. In the end, we were really discussing the merits of different technologies for the specification of reusable components for KBS. In this brief article we record some of the lively debate from that panel and the email exchanges it generated.

Knowledge engineering in the communication of Information for safety critical systems

1997 ◽  
Vol 12 (3) ◽  
pp. 249-270 ◽  
Author(s):  
CORIN A. GURR
Keyword(s):  
Knowledge Engineering ◽  
Distributed Teams ◽  
Primary Role ◽  
Knowledge Based Systems ◽  
Critical Systems ◽  
Human Communication ◽  
Critical System ◽  
Safety Critical ◽  
Knowledge Based ◽  
Safety Critical Systems

The design and assessment of safety critical systems often involves broad and distributed teams of designers, suppliers and analysts who represent diverse areas of expertise and motivations. Accurate and effective communication between these groups is therefore an issue of primary importance. The formalisation of specifications and arguments of safety can be of significant benefit in ensuring the consistency of evidence in such cases, when it must be presented across many domains. However, a formal description of a safety critical system may be unconvincing unless it is presented in a form which is (or forms which are) accessible to the broad range of users and assessors of safety cases. This raises issues of human communication which include the tailoring of information to particular communicative tasks; the efficacy of differing media for communication and the cognitive impact that such differing media have. This paper draws together work in fields of knowledge engineering, knowledge based systems and human communication in an effort to address, from a sound theoretical basis, these and other communication issues raised by the use of formal descriptions in safety critical systems. Further, this paper argues that a primary role for knowledge based systems techniques in safety critical systems is in supporting the communication of information.

Validation of knowledge-based systems: Current trends and issues

1995 ◽  
Vol 10 (1) ◽  
pp. 69-71 ◽  
Author(s):  
Alun D. Preece
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Engineering ◽  
Knowledge Based Systems ◽  
Short Article ◽  
European Conference ◽  
Knowledge Based ◽  
Engineering Discipline ◽  
Current Trends ◽  
European Institutions ◽  
Area Of Concern

Assuring the reliability of knowledge-based systems has become an important issue in the development of the knowledge engineering discipline. There has been a workshop devoted to these topics at most of the major AI conferences (IJCAI, AAAI and ECAI) for the last five years, and the 1994 European Conference on Artificial Intelligence (ECAI-94) in Amsterdam was no exception. The focus of the meeting was on validation techniques for KBS, where validation is defined as the process of determining if a KBS meets its users' requirements; implicitly, validation includes verification, which is the process of determining if a KBS has been constructed to comply with certain formally-specified properties, such as consistency and irredundancy. The Amsterdam workshop was an intimate meeting, and the fifteen attendees were predominantly from European institutions. In spite of—or perhaps because of—this intimacy, the workshop succeeded in highlighting many of the significant trends and issues within its area of concern. The purpose of this short article is to review the trends and issues in question, drawing upon the contributions made during the workshop.

Knowledge Engineering Suite: A Tool to Create Ontologies for Automatic Knowledge Representation in Knowledge-Based Systems

2005 ◽  
pp. 249-260 ◽  
Author(s):  
Tania Cristina D’Agostini Bueno ◽  
Hugo Cesar Hoeschl ◽  
Andre Bortolon ◽  
Eduardo Mattos ◽  
Cristina Souza Santos
Keyword(s):  
Knowledge Representation ◽  
Knowledge Engineering ◽  
Knowledge Based Systems ◽  
Knowledge Based

Graphical interfaces for knowledge engineering: an overview of relevant literature

1988 ◽  
Vol 3 (3) ◽  
pp. 221-247 ◽  
Author(s):  
Sara Jones
Keyword(s):  
Human Computer Interaction ◽  
Cognitive Processes ◽  
Knowledge Engineering ◽  
Relevant Literature ◽  
Knowledge Based Systems ◽  
Future Developments ◽  
Knowledge Based ◽  
Graphical Interfaces ◽  
Machine Interface ◽  
System Interfaces

AbstractLiterature relevant to the design and development of graphical interfaces for knowledge-based systems is briefly reviewed and discussed. The efficiency of human-computer interaction depends to a large extent on the degree to which the human-machine interface can answer the user's cognitive needs and accurately support his or her natural cognitive processes and structures. Graphical interfaces can often be particularly suitable in this respect, especially in cases where the user's “natural idiom” is graphical. Illustrated examples are given of the way in which graphical interfaces have successfully been used in various fields with particular emphasis on their use in the field of knowledge-based systems. The paper ends with a brief discussion of possible future developments in the field of knowledge-based system interfaces and of the role that graphics might play in such developments.

scholarly journals Modeling Frameworks for Knowledge Engineering Approaches

2022 ◽  
pp. 15-20
Author(s):  
Daniel Ashlock
Keyword(s):  
Knowledge Base ◽  
Transfer Process ◽  
Knowledge Engineering ◽  
Knowledge Based Systems ◽  
Human Knowledge ◽  
Production Rules ◽  
Knowledge Based ◽  
New Ideas ◽  
The Creation ◽  
Applied Knowledge

Human knowledge was regarded as a transfer process into an applied knowledge base in the early 1980s as the creation of a Knowledge-Based Systems (KBS). The premise behind this transfer was that the KBS-required information already existed and only needed to be gathered and applied. Most of the time, the necessary information was gleaned through talking to professionals about how they handle particular problems. This knowledge was usually put to use in production rules, which were then carried out by a rule interpreter linked to them. Here, we demonstrate a number of new ideas and approaches that have emerged during the last few years. This paper presents MIKE, PROTÉGÉ-II, and Common KADS as three different modeling frameworks that may be used together or separately.

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