Using Integrated Knowledge Acquisition to Prepare Sophisticated Expert Plans for Their Re-Use in Novel Situations

Schmalhofer, Franz; Bergmann, Ralph; Kühn, Otto; Schmidt, Gabriele

doi:10.1007/978-3-662-02711-0_7

Cited by 12 publications

(9 citation statements)

References 8 publications

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“…The current conceptual developments of intelligent documentation in form of a domain-specific hypertext were elaborated on the basis of two previous implementations. Although the structures which were constructed by the previous implementations of the knowledge acquisition tools CECoS , COKAM+ ) and SP-GEN (Schmalhofer, Bergmann, Kühn & Schmidt, 1991) bear a clear resemblance to the hypertext links shown in Figure 6, the previous versions of CECoS and COKAM+ were independently implemented. The practical experience with the actual implementations supplied essential insights for the development of the new concepts.…”

Section: Resultsmentioning

confidence: 99%

“…In the following we describe two coordinated knowledge acquisition tools, which were designed to construct an intelligent documentation on route to a formal knowledge base: The case experience combination system or CECoS and the case oriented knowledge acquisition method from texts or COKAM+ . After the documented information has been formalized a skeletal plan generation procedure SP-GEN (Schmalhofer, Bergmann, Kühn & Schmidt, 1991) can be applied to construct skeletal plans for the different problem classes. Figure 2 shows how CECoS and COKAM+ are used to construct an intelligent documentation of human problem solving strategies and related information for production planning on route to the development of a knowledge-based system.…”

Section: Acquisition Methodsmentioning

confidence: 99%

“…The skeletal plan generation procedure (SP-GEN) (Schmalhofer, Bergmann, Kühn & Schmidt, 1991) is based on explanation-based generalization as described by (Mitchell, Keller & Kedar-Cabelli, 1986). The domain and common sense knowledge acquired with COKAM+ is thereby used as the domain theory and the hierarchy of manufacturing classes is employed to specify operationality criteria.…”

Section: Skeletal Plan Generation With Sp-genmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent documentation as a catalyst for developing cooperative knowledge-based systems

Schmalhofer

Reinartz

Tschaitschian

1992

Current Developments in Knowledge Acquisition — EKAW '92

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The DFKI conducts application-oriented basic research in the field of artificial intelligence and other related subfields of computer science. The overall goal is to construct systems with technical knowledge and common sense which -by using AI methods -implement a problem solution for a selected application area. Currently, there are the following research areas at the DFKI:Intelligent Engineering Systems Intelligent User Interfaces Intelligent Communication Networks Intelligent Cooperative Systems.The DFKI strives at making its research results available to the scientific community. There exist many contacts to domestic and foreign research institutions, both in academy and industry. The DFKI hosts technology transfer workshops for shareholders and other interested groups in order to inform about the current state of research.From its beginning, the DFKI has provided an attractive working environment for AI researchers from Germany and from all over the world. The goal is to have a staff of about 100 researchers at the end of the building-up phase. ; an acknowledgement of the authors and individual contributors to the work; all applicable portions of this copyright notice. Copying, reproducing, or republishing for any other purpose shall require a licence with payment of fee to Deutsches Forschungszentrum für Künstliche Intelligenz.Abstract. In the long run, the development of cooperative knowledge-based systems for complex real world domains such as production planning in mechanical engineering should yield significant economic returns. However, large investments have already been made into the conventional technology. Intelligent documentation, which abstracts the current practice of the industry, is suggested as a stepping stone for developing such knowledge-based systems. A set of coordinated knowledge acquisition tools has been developed by which intelligent documents are constructed as an intermediate product, which by itself is already useful. Within the frame of the conventional technology, the task-and domain specific hypertext structures allow the reuse of production plans while simultaneously starting the development process for knowledge based systems.

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Section: Resultsmentioning

confidence: 99%

Section: Acquisition Methodsmentioning

confidence: 99%

Section: Skeletal Plan Generation With Sp-genmentioning

confidence: 99%

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Intelligent documentation as a catalyst for developing cooperative knowledge-based systems

Schmalhofer

Reinartz

Tschaitschian

1992

Current Developments in Knowledge Acquisition — EKAW '92

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“…Schmalhofer et al make a suggestion concerning the use of cases within an integrated knowledge acquisition process for the preparation of expert plans which can be reused in novel situations [SBK+91]. The MOBAL system is an interesting example for the integration of manual and automatic knowledge acquisition methods [Mor90].…”

Section: Discussionmentioning

confidence: 99%

Contemporary Knowledge Engineering and Cognition

Schmalhofer¹,

Strube²,

Wetter³

1992

Lecture Notes in Computer Science

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“…The skeletal plan is finally refined with the help of the workpiece and the factory description into the concrete production plan. The model of expertise implies the planning method of reuse of plan schemata [8,13], which becomes the general structure of the to be developed expert system. Therefore, model of expertise specifies what kind of knowledge has to be acquired for the expert system, namely abstraction rules, refinement rules and skeletal plans which are associated with features • of the problem description.…”

Section: What Knowledge Is Necessary?mentioning

confidence: 99%

Knowledge acquisition from text in a complex domain

Schmidt

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

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Complex real world domains can be characterized by a large amount of data, their interactions and that the knowledge must often be related to concrete problems. Therefore, the available descriptions of real world domains do not easily lend themselves to an adequate representation. The knowledge which is relevant for solving a given problem must be extracted from such descriptions with the help of the knowledge acquisition process. Such a process must adequately relate the acquired knowledge to the given problem. An integrated knowledge acquisition framework is developed to relate the acquired knowledge to real world problems. The interactive knowledge acquisition tool COKAM+ is one of three acquisition tools within this integrated framework. It extracts the knowledge from text, provides a documentation of the knowledge and structures it with respect to problems. All these prepar'l.tions can serve to represent the obtained knowledge adequately.

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Using Integrated Knowledge Acquisition to Prepare Sophisticated Expert Plans for Their Re-Use in Novel Situations

Abstract: This paper has been published in the Conference Proceedings of the 15th German Workshop on Artificial Intelligence (GWAI-91).

Cited by 12 publications

References 8 publications

Intelligent documentation as a catalyst for developing cooperative knowledge-based systems

Intelligent documentation as a catalyst for developing cooperative knowledge-based systems

Contemporary Knowledge Engineering and Cognition

Knowledge acquisition from text in a complex domain

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