       Document 0883
 DOCN  M9620883
 TI    Ontology-based configuration of problem-solving methods and generation
       of knowledge-acquisition tools: application of PROTEGE-II to
       protocol-based decision support.
 DT    9602
 AU    Tu SW; Eriksson H; Gennari JH; Shahar Y; Musen MA; Section on Medical
       Informatics, Stanford University School of; Medicine, CA 94305-5479,
       USA.
 SO    Artif Intell Med. 1995 Jun;7(3):257-89. Unique Identifier : AIDSLINE
       MED/96066001
 AB    PROTEGE-II is a suite of tools and a methodology for building
       knowledge-based systems and domain-specific knowledge-acquisition tools.
       In this paper, we show how PROTEGE-II can be applied to the task of
       providing protocol-based decision support in the domain of treating
       HIV-infected patients. To apply PROTEGE-II, (1) we construct a
       decomposable problem-solving method called episodic skeletal-plan
       refinement, (2) we build an application ontology that consists of the
       terms and relations in the domain, and of method-specific distinctions
       not already captured in the domain terms, and (3) we specify mapping
       relations that link terms from the application ontology to the
       domain-independent terms used in the problem-solving method. From the
       application ontology, we automatically generate a domain-specific
       knowledge-acquisition tool that is custom-tailored for the application.
       The knowledge-acquisition tool is used for the creation and maintenance
       of domain knowledge used by the problem-solving method. The general goal
       of the PROTEGE-II approach is to produce systems and components that are
       reusable and easily maintained. This is the rationale for constructing
       ontologies and problem-solving methods that can be composed from a set
       of smaller-grained methods and mechanisms. This is also why we tightly
       couple the knowledge-acquisition tools to the application ontology that
       specifies the domain terms used in the problem-solving systems. Although
       our evaluation is still preliminary, for the application task of
       providing protocol-based decision support, we show that these goals of
       reusability and easy maintenance can be achieved. We discuss design
       decisions and the tradeoffs that have to be made in the development of
       the system.
 DE    *Artificial Intelligence  Computer Systems  *Decision Making,
       Computer-Assisted  Expert Systems  Programming Languages  Support,
       Non-U.S. Gov't  Support, U.S. Gov't, Non-P.H.S.  Support, U.S. Gov't,
       P.H.S.  Therapy, Computer-Assisted  JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
       protected by Copyright Law (Title 17, U.S.Code).

