Please use this identifier to cite or link to this item: doi:10.22028/D291-40777
Title: HyperCAKE : A Knowledge Acquisition Tool for Hypermedia-Based Expert Systems
Author(s): Maurer, Frank
Language: English
Year of Publication: 1992
Place of publication: Kaiserslautern
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: We describe the architecture of the multi-user knowledge acquisition tool HyperCake which is designed to support the development of hypermedia-based expert systems. HyperCAKE contains a multimedia database system for the management of the knowledge base, mechanisms for the management of the hypertext, a consistency checker (based on graph grammars), modules which support the KADS methodology, and tools for the development of application-specific shells. Further, we describe three knowledge level shells which are developed with HyperCAKE. One supports the development of expert systems for technical diagnosis. The second is a knowledge based geographical information system for data analysis. The last realiyes an intelligent development plan.
Link to this record: urn:nbn:de:bsz:291--ds-407778
hdl:20.500.11880/37689
http://dx.doi.org/10.22028/D291-40777
Series name: SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447]
Series volume: 92,4
Date of registration: 23-May-2024
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Professorship: SE - Sonstige
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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