Integrated Knowledge Acquisition From Text, Previously Solved Cases, and Expert Memories

Schmalhofer, Franz; Kühn, Otto; Schmidt, Gabriele

doi:10.1080/08839519108927932

Cited by 19 publications

(7 citation statements)

References 34 publications

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“…Reinartz (1991)) is part of the integrated knowledge acquisition from text, previously solved cases, and expert memories (Schmalhofer et al (1991)). Reinartz (1991)) is part of the integrated knowledge acquisition from text, previously solved cases, and expert memories (Schmalhofer et al (1991)).…”

Section: Case Experience Combination Systemmentioning

confidence: 99%

Data Analysis and Information Systems

Bock¹,

Polasek²

1996

Studies in Classification, Data Analysis, and Knowledge Organization

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The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Product liability: The publishers cannot guarantee the accuracy of any information about the application of operative techniques and medications contained in this book. In every individual case the user must check such information by consulting the relevant literature. SPIN 10517148 21/3135 -5 4 3 2 1 0 -Printed on acid-free paper 1 Conference papers related to Internet problems were published in a separate volume in German: H.Chr. Hobohm and H.J. Watjen (Hrsg.): Wissen in elektronischen Netzwerken. Beitrage zur Strukturierung und zum Retrieval von Information im Internet. Bibliotheksund Informationssystem (81S) der Universitat Oldenburg, Oldenburg, 1995.VII results obtained from a correspondence analysis of their data matrix. The paper of S. Ohl is a nice illustration of various descriptive, graphical and multivariate data analysis methods: his data were obtained in the development of the Mercedes-Benz S-Class when car buyers were asked for their preferences in extras and options, and he reveals from these data various dependence and clustering structures. U. Streit gives an account of computerbased geographic information systems and discusses various aspects of the geometrical, topological and thematic modelling of spatial objects. He calls for a closer cooperation of statisticians, geo-scientists and information scientists in order to improve on these systems. M. Theus presents an analysis of spatio-temporal data using interactive statistical graphics. He describes the software package REGARD which uses exploratory and graphical techniques. As an alternative, e.g., to multidimensional scaling, U. Wille presents methods by which an ordinal objectsxdata matrix may be represented by linearly separated regions in the n-dimensional real vector space. She thereby generalizes Scott's axiomatization of represent ability. Statistical models and methodsG. Arminger and D. Enache survey artificial neural networks considered as statistical nonlinear regression models with parameters (weights) estimated (adapted) by quasi-maximum likelihood methods and nonlinear leastsquares. Various distance or evaluation measures and several numerical algorithms are presented. G. Tutz proposes non-parametric smoothing methods for categorical response data, in particular discrete kernel regression and local likelihood approaches. Those approaches are investigated in detail for multi-categorical regression and the estimation of discrete hazard functions.C. Weihs and W. Seewald present the statistical expert system STAVEX which allows the interactive computer-based design of experiments in industry. Various optimization criteria as well as special features such as mixture factors (with 'Cox axes') and composite responses, are included. R.L. Wolpert proposes the 'conditional frequ...

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Section: Case Experience Combination Systemmentioning

confidence: 99%

Data Analysis and Information Systems

Bock¹,

Polasek²

1996

Studies in Classification, Data Analysis, and Knowledge Organization

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“…Thus, planning strategies on such a detailed level are neither available nor would they make sense. Instead, human planners apparently store a hierarchically organized library of prefabricated skeletal plans in their memories [56]. Each of these plans is accessed via a more or less abstract description of a characteristic (part of a) workpiece, which is called a workpiece feature [39].…”

Section: The Jlcad2nc Case Studymentioning

confidence: 99%

CoLab: A hybrid knowledge representation and compilation laboratory

et al. 1995

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Knowledge bases for real-world domains such as mechanical engineering require expressive and efficient representation and processing tools. We pursue a declarative-compilative approach to knowledge engineering. While Horn logic (as implemented in PROLOG) is well-suited for representing relational clauses, other kinds of declarative knowledge call for hybrid extensions: functional dependencies and higher-order knowledge should be modeled directly. Forward (bottom-up}.-reasoning should be integrated with backward (top-down) reasoning. Constraint propagation should be used wherever possible instead of search-intensive resolution. Taxonomic knowledge should be classified into an intuitive subsumption hierarchy. Our LISP-based tools provide direct translators of these declarative representations into abstract machines such as an extended Warren Abstract Machine (WAM) and specialized inference engines that are interfaced to each other. More importantly, we provide source-tosource transformers between various knowledge types, both for user convenience and machine efficiency. These formalisms with thei r translators and transformers have been developed as part of COLAB, a compilation laboratory for studying what we call, respectively, 'vertical ' and ' horizontal ' compilation of knowledge, as well as for exploring the synergetic collaboration of the knowledge representation formalisms. A case study in the realm of mechanical engineering has been an important driving force behind the development of COLAB. It will be used as the source of examples throughout the paper when discussing t he enhanced formalisms, the hybrid representation architecture, and the compilers.

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“…Explanation-based learning [MitchellKeller86] is applied to find an appropriate generalization of a concrete case consisting of the description of a manufacturing problem and its solution. It is embedded into an integrated knowledge acquisition method [SchmalhoferKuehn+91] which provides the domain theory and allows the specification of domain-adequate operationality criteria for the construction of skeletal plans.…”

Section: Motivationmentioning

confidence: 99%