AIDA – Experiences in Compensating the Mutual Weaknesses of Knowledge-based and Object-oriented Development in a Complex Dental Planning Domain

E. Finkeissen; R. Weber; S. Haßfeld; U. Koke; T. Wetter

doi:10.1055/s-0038-1634302

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2002; 41(02): 168-176
DOI: 10.1055/s-0038-1634302

Original Article

Schattauer GmbH

AIDA – Experiences in Compensating the Mutual Weaknesses of Knowledge-based and Object-oriented Development in a Complex Dental Planning Domain

Authors

E. Finkeissen

¹Institute for Medical Biometry and Informatics, Department of Medical Informatics, University of Heidelberg, Germany
R. Weber

¹Institute for Medical Biometry and Informatics, Department of Medical Informatics, University of Heidelberg, Germany
S. Haßfeld

²Hospital for Oral and Maxillo-Facial Surgery, University of Heidelberg, Germany
U. Koke

³Hospital for Dentistry, Department of Prosthodontics, University of Heidelberg, Germany
T. Wetter

¹Institute for Medical Biometry and Informatics, Department of Medical Informatics, University of Heidelberg, Germany

Abstract

Summary

Objectives: Dentistry is a discipline with two properties that pose a serious challenge to knowledge based decision support: (1) It has to integrate six sub-disciplines ranging from conservative measures to invasive disciplines, such as implantology; (2) A plan may have to cover a complex treatment often lasting one year or more. It is the aim of the AIDA-project¹ to set up a planning strategy that is suited to incorporate all dental peculiarities in one methodology.

Methods: Generic tasks, that can be assigned to individual persons involved in dental treatment, have been designed with the help of KADS. They have been integrated into a planning super-structure for the planning of all dental solution alternatives, that can principally be applied on the basis of the given patient status.

Results: Besides an evaluation of the implemented planning system itself, it has been evaluated how well the development is supported by (1) knowledge-engineering methods and (2) object-oriented methods.

Conclusion: Common knowledge-based tools are not powerful enough for the planning of complex dental constructions. Therefore, a solution combining object-oriented and knowledge-based methods is proposed.

Keywords

Dentistry - decision making - theoretical models - knowledge - decision support techniques

Full Text

References

References
1 Chernoff H, Moses LE. Elementary decision theory. vol. XV. New York: Wiley; 1959
2 Finkeissen E, Schwarzer H, Wetter T, Hassfeld S. Voraussetzungen einer Medizinischen Wissens- und Entscheidungsreferenz (Pre-conditions of a Medical Knowledge and Decision Standard). In: Jaeckel A. Telemedizin Führer 1999: Deutsches Medizin Forum. 1999
3 Pauker S. Clinical problem-solving. Some familiar trade-offs. N Engl J Med 1994; 331: 1511-4.
4 Pauker S. Clinical problem-solving. Invasive interventions. N Engl J Med 1994; 331: 601-5.
5 Pauker S. Clinical problem-solving. A masked marauder. N Engl J Med 1994; 330: 1596-8.
6 Brim OG, Glass DC, Lavin DE. et al. Personality and Decision Processes. Stanford: 1962
7 Wetter T. First-order logic foundation of the KADS conceptional model. In: Current trends in knowledge acquisition. Wielinga B, Boose J, Gaines B, Schreiber G, van Someren M. Amsterdam: IOS Press; 1990: 356-75.
8 Wielinga B, Schreiber AT, Breuker JA. KADS: A modeling approach to knowledge engineering. Knowledge Acquisition – Special issue “The KADS approach to knowledge engineering”. 1992: 4.
9 Breuker J, van de Velde W. et al. CommonKads library for expertise modeling. Reusable problem solving components. Amsterdam Oxford: IOS Press; 1994. vol. 21.
10 Schreiber AT, Akkermans JM, Anjewierden AA, de Hoog R, Shadbolt NR, Van de Velde W, Wielinga B. Engineering and Managing Knowledge – The CommonKADS Methodology. 1999
11 Puppe F, Gappa U, Poeck K, Bamberger S. Wissensbasierte Diagnose- und Informationssysteme - Anwendungen des Expertensystem-Shell-Baukastens D3 (Knowledge-based Diagnose and Information System – an Application of the Expert System Shell Tool D3). Berlin: Springer; 1996
12 Tu SW, Erikson H, Gennari J, Shahar Y, Musen MA. Ontology-based configuration of problem-solving methods and generation of knowledge acquisition tools; The application of PROTÉGÉ-II to protocol-based decision support. Artif Intell Med 1995; 7: 257-89.
13 Musen M, (editor). David J, Krivine JP, Simmons R. An Overview of Knowledge Acquisition. Berlin: Springer; 1993
14 Musen M. et al. Protégé-II, Computer support for development of intelligent systems from libraries of components. Medinfo. 1995: 766-70.
15 Grosso WE, Eriksson H, Fergerson RW, Gennari JH, Tu SW, Musen MA. In: Knowledge Modeling at the Millenium (The Design and Evolution of Protege-2000). Stanford: SMI; 1999
16 Cunis R, Günter A, Strecker H. Das PlakonBuch – Ein Expertensystemkern für Planungsund Konfigurationsaufgaben in technischen Domänen (An Expert System Kernel for Planning and Configuration Tasks in Technical Domains). Berlin-Heidelberg-New York: Springer; 1991
17 Schröder C, Möller R, Lutz C. A partial logical reconstruction of PLAKON/KONWERK. Dresden: 1996
18 Wieringa R. A Survey of Structured and Object-Oriented Software Specification Methods and Techniques. ACM Computing Surveys 1998; 30: 460-527.
19 Booch G, Rumbaugh J, Jacobson I. UML: The Unified Modeling Language user guide. Reading, Mass.: Addison Wesley; 1999
20 Rumbaugh J, Jacobson I, Booch G. The Unified Modeling Language Reference Manual. Berkeley: Addison-Wesley; 1999
21 Oestereich B. Objekt-orientierte Softwareentwicklung mit der Unified Modeling Language (Object-oriented Software Development with the Unified Modeling Language). 3., updated edition, Munich: Oldenbourg; 1997
22 Quatrani T. Visual Modeling with Rational Rose and UML. Harlow, England: Addison Wesley; 1998
23 Gehbauer F, Lennerts K. Modellierung und Entwicklung eines wissensbasierten, objektorientierten Systems zur Planung optimierter Baustellen-Layouts; ESBE (Modeling and Development of a Knowledge-based, object-oriented System for the planning of an optimized Layout of Building Sites). In: Forschungsgemeinschaft D. Objektorientierte Modellierung in Planung und Konstruktion – Forschungsbericht. Weinheim: Wiley-VCH GmbH; 2000
24 Finkeissen E, Weber R, Wetter T, Hassfeld S, Koke U. AIDA wird in wenigen Sekunden detaillierte Lösungen bieten können. (AIDA can Provide Detailed Plannings within Seconds). DZW-Special 1999
25 Marcus S, McDermott JP. SALT: A Knowledge Acquisition Language for Propose-and-Revise Systems. Artificial Intelligence 1989; 39: 1-37.