Literature DB >> 7581625

Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support.

S W Tu1, H Eriksson, J H Gennari, Y Shahar, M A Musen.   

Abstract

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.

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Year:  1995        PMID: 7581625     DOI: 10.1016/0933-3657(95)00006-r

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  15 in total

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3.  The interactions between clinical informatics and bioinformatics: a case study.

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Journal:  Proc AMIA Symp       Date:  2002

5.  EON: a component-based approach to automation of protocol-directed therapy.

Authors:  M A Musen; S W Tu; A K Das; Y Shahar
Journal:  J Am Med Inform Assoc       Date:  1996 Nov-Dec       Impact factor: 4.497

6.  Building an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals.

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7.  Motivation and organizational principles for anatomical knowledge representation: the digital anatomist symbolic knowledge base.

Authors:  C Rosse; J L Mejino; B R Modayur; R Jakobovits; K P Hinshaw; J F Brinkley
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

8.  Use of medical informatics to implement and develop clinical practice guidelines.

Authors:  D K Owens
Journal:  West J Med       Date:  1998-03

9.  Making generic guidelines site-specific.

Authors:  D B Fridsma; J H Gennari; M A Musen
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

10.  Knowledge acquisition for temporal abstraction.

Authors:  A Stein; M A Musen; Y Shahar
Journal:  Proc AMIA Annu Fall Symp       Date:  1996
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