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 |
Files for this record:
File | Description | Size | Format | |
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SEKI-Report-SR-92-04_Maurer_HyperCAKE-A-Knowledge-Acquisition-Tool-for-Hypermedia=Based-Expert-Systems.pdf | 3,63 MB | Adobe PDF | View/Open |
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