A GUI for Jess

Jovanović, Jelena; Gašević, Dragan; Devedić, Vladan

doi:10.1016/j.eswa.2003.12.012

Cited by 18 publications

(4 citation statements)

References 20 publications

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“…On the other hand, this role of the GUI proves to be very useful in knowledge engineering. For example, JessGUI is a forms-based GUI that transforms a knowledge engineer's input into Jess syntax, thus making it possible for the knowledge engineer to avoid learning the Jess language [Jovanovi et al, 2004].…”

Section: Visual Languages For Knowledge Representationmentioning

confidence: 99%

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Model Driven Architecture and Ontology Development

Gaaevic

Djurić

Devedžić

et al. 2006

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We are very grateful to Jelena Jovanovi , Nenad Krdžavac, and Colin Knight for a huge amount of help in preparing this book and for giving us many useful comments and suggestions. We would also like to thank all members of the GOOD OLD AI research group (http://goodoldai.org.yu) at the University of Belgrade, Serbia and Montenegro for providing us with a great environment and many useful ideas that enormously improved the quality of the book. Dragan Gaševi is very grateful to Marek Hatala, Tom Calvert, Griff Richards, and other colleagues from the LORNET research network at Simon Fraser University in Vancouver, Canada, for their great support and understanding.We thank Bran Selic of IBM Rational Software for agreeing to write the book's foreword. We are also very grateful to Jean Bézivin of the University of Nantes whose research in the filed of model-driven engineering inspired us to start exploring relations between MDA and ontologies. A special mention should be given to Ralf Gerstner of Springer-Verlag, who invited us to write this book and had a lot of patience in working with us. We are very thankful to

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Section: Visual Languages For Knowledge Representationmentioning

confidence: 99%

“…Moreover, there are several AI development tools that define their own XML formats for sharing their knowledge bases (e.g. JessGUI tool [Jovanovi et al, 2004] creates XML knowledge bases for Jess, a well-known expert system shell).…”

Section: The Role Of Xml Technologiesmentioning

confidence: 99%

Model Driven Architecture and Ontology Development

Gaaevic

Djurić

Devedžić

et al. 2006

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“…Several attempts were made to bring expert system development process into the general public domain, e.g [22] developed an easy to use web based expert system development tool which they targeted towards non-Artificial Intelligent (AI) experts. JessGUI [18] was an excellent effort in making expert system development easier. However, since it is built on top of Jess, the system development language is primarily restricted to Just Another Vulnerability Announcement (JAVA).…”

Section: A Available Expert System Development Toolsmentioning

confidence: 99%

“…Most of these tools are expert system shells, which are empty expert systems that the user can customize according to specific needs. Newer expert system shells, such as JavaDON [17] and JessGUI (a graphical user interface or GUI for the Jess shell by [18]), are also included with rich GUI for expert systems development. Some expert systems were developed using symbolic programming languages such as Prolog, e.g., VidMAP [3], and Lisp [19], e.g., TMYCIN [20] and VACE [21].…”

Section: A Available Expert System Development Toolsmentioning

confidence: 99%

ExSIDE: Component Based Object Oriented Expert Systemâ€™s Integrated Development Environment

Saad

Shahad

Win

et al. 2017

JOIV : Int. J. Inform. Visualization

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Air - A Platform for Intelligent Systems

Djurić

Gašević

Damjanović

2004

IFIP International Federation for Information Processing

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Key words:This paper presents AIR -a platform for building intelligent systems. Current IS platforms either are narrowly specialized (ontologies, expert system shells, etc.) or have complex extension mechanisms (i.e. do not use benefits of Model Driven Development). Based on OMG's Model Driven Architecture and its standards, AIR core consists of various MOF-based metamodels. Presented metamodels are mainly intended, but not limited, to support emerging standards related to the Semantic Web. Basing its architecture on MDA, AIR can support metamodels of almost any domain, including non-AI related. AIR also includes an integrated development environment for building such systems, which is based on Eclipse. Presented platform is intended to be an integration point of various intelligent systems and mainstream software technologies.

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A GUI for Jess

Cited by 18 publications

References 20 publications

Model Driven Architecture and Ontology Development

Model Driven Architecture and Ontology Development

ExSIDE: Component Based Object Oriented Expert Systemâ€™s Integrated Development Environment

Air - A Platform for Intelligent Systems

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