Literature DB >> 9865052

Domain ontologies in software engineering: use of Protégé with the EON architecture.

M A Musen1.   

Abstract

Domain ontologies are formal descriptions of the classes of concepts and the relationships among those concepts that describe an application area. The Protégé software-engineering methodology provides a clear division between domain ontologies and domain-independent problem-solvers that, when mapped to domain ontologies, can solve application tasks. The Protégé approach allows domain ontologies to inform the total software-engineering process, and for ontologies to be shared among a variety of problem-solving components. We illustrate the approach by describing the development of EON, a set of middleware components that automate various aspects of protocol-directed therapy. Our work illustrates the organizing effect that domain ontologies can have on the software-development process. Ontologies, like all formal representations, have limitations in their ability to capture the semantics of application areas. Nevertheless, the capability of ontologies to encode clinical distinctions not usually captured by controlled medical terminologies provides significant advantages for developers and maintainers of clinical software applications.

Mesh:

Year:  1998        PMID: 9865052

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  20 in total

1.  Automation and integration of components for generalized semantic markup of electronic medical texts.

Authors:  J M Dugan; D C Berrios; X Liu; D K Kim; H Kaizer; L M Fagan
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  Integration and beyond: linking information from disparate sources and into workflow.

Authors:  W W Stead; R A Miller; M A Musen; W R Hersh
Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

3.  Progress with formalization in medical informatics?

Authors:  A A van der Maas; A J ten Hoopen; A H ter Hofstede
Journal:  J Am Med Inform Assoc       Date:  2001 Mar-Apr       Impact factor: 4.497

4.  Requirements for medical modeling languages.

Authors:  A A van der Maas; A H ter Hofstede; A J ten Hoopen
Journal:  J Am Med Inform Assoc       Date:  2001 Mar-Apr       Impact factor: 4.497

5.  A UMLS-based knowledge acquisition tool for rule-based clinical decision support system development.

Authors:  S L Achour; M Dojat; C Rieux; P Bierling; E Lepage
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

6.  Analysis of DNA microarrays using algorithms that employ rule-based expert knowledge.

Authors:  Kuang-Hung Pan; Chih-Jian Lih; Stanley N Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

7.  A practical approach to process support in health information systems.

Authors:  Richard Lenz; Thomas Elstner; Hannes Siegele; Klaus A Kuhn
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

8.  Extension and integration of the gene ontology (GO): combining GO vocabularies with external vocabularies.

Authors:  David P Hill; Judith A Blake; Joel E Richardson; Martin Ringwald
Journal:  Genome Res       Date:  2002-12       Impact factor: 9.043

9.  Integrating pharmacokinetics knowledge into a drug ontology: as an extension to support pharmacogenomics.

Authors:  C G Chute; J S Carter; M S Tuttle; M Haber; S H Brown
Journal:  AMIA Annu Symp Proc       Date:  2003

10.  Bioinformatics and medical informatics: collaborations on the road to genomic medicine?

Authors:  Victor Maojo; Casimir A Kulikowski
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

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