Literature DB >> 20640238

Strengths and limitations of formal ontologies in the biomedical domain.

Stefan Schulz1, Holger Stenzhorn, Martin Boeker, Barry Smith.   

Abstract

We propose a typology of representational artifacts for health care and life sciences domains and associate this typology with different kinds of formal ontology and logic, drawing conclusions as to the strengths and limitations for ontology of different kinds of logical resources, with a focus on description logics.The four types of domain representation we consider are: (i) lexico-semantic representation, (ii) representation of types of entities, (iii) representations of background knowledge, and (iv) representation of individuals.We advocate a clear distinction of the four kinds of representation in order to provide a more rational basis for using of ontologies and related artifacts to advance integration of data and interoperability of associated reasoning systems.We highlight the fact that only a minor portion of scientifically relevant facts in a domain such as biomedicine can be adequately represented by formal ontologies when the latter are conceived as representations of entity types. In particular, the attempt to encode default or probabilistic knowledge using ontologies so conceived is prone to produce unintended, erroneous models.

Entities:  

Year:  2009        PMID: 20640238      PMCID: PMC2904529          DOI: 10.3395/reciis.v3i1.241en

Source DB:  PubMed          Journal:  Rev Electron Comun Inf Inov Saude        ISSN: 1981-6278


  8 in total

1.  Medical knowledge reengineering--converting major portions of the UMLS into a terminological knowledge base.

Authors:  S Schulz; U Hahn
Journal:  Int J Med Inform       Date:  2001-12       Impact factor: 4.046

2.  Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system.

Authors:  E H Shortliffe; R Davis; S G Axline; B G Buchanan; C C Green; S N Cohen
Journal:  Comput Biomed Res       Date:  1975-08

3.  Defaults, context, and knowledge: alternatives for OWL-indexed knowledge bases.

Authors:  A Rector
Journal:  Pac Symp Biocomput       Date:  2004

4.  Negative findings in electronic health records and biomedical ontologies: a realist approach.

Authors:  Werner Ceusters; Peter Elkin; Barry Smith
Journal:  Int J Med Inform       Date:  2007-03-21       Impact factor: 4.046

5.  The @neurIST ontology of intracranial aneurysms: providing terminological services for an integrated IT infrastructure.

Authors:  Martin Boeker; Holger Stenzhorn; Kai Kumpf; Philippe Bijlenga; Stefan Schulz; Susanne Hanser
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

6.  The GRAIL concept modelling language for medical terminology.

Authors:  A L Rector; S Bechhofer; C A Goble; I Horrocks; W A Nowlan; W D Solomon
Journal:  Artif Intell Med       Date:  1997-02       Impact factor: 5.326

7.  The representation of meaning in the UMLS.

Authors:  A T McCray; S J Nelson
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

8.  Representing default knowledge in biomedical ontologies: application to the integration of anatomy and phenotype ontologies.

Authors:  Robert Hoehndorf; Frank Loebe; Janet Kelso; Heinrich Herre
Journal:  BMC Bioinformatics       Date:  2007-10-09       Impact factor: 3.169

  8 in total
  13 in total

1.  A unified architecture for biomedical search engines based on semantic web technologies.

Authors:  Vahid Jalali; Mohammad Reza Matash Borujerdi
Journal:  J Med Syst       Date:  2009-08-25       Impact factor: 4.460

2.  SeDeLo: using semantics and description logics to support aided clinical diagnosis.

Authors:  Alejandro Rodríguez-González; Jose Emilio Labra-Gayo; Ricardo Colomo-Palacios; Miguel A Mayer; Juan Miguel Gómez-Berbís; Angel García-Crespo
Journal:  J Med Syst       Date:  2011-05-03       Impact factor: 4.460

3.  A common layer of interoperability for biomedical ontologies based on OWL EL.

Authors:  Robert Hoehndorf; Michel Dumontier; Anika Oellrich; Sarala Wimalaratne; Dietrich Rebholz-Schuhmann; Paul Schofield; Georgios V Gkoutos
Journal:  Bioinformatics       Date:  2011-02-21       Impact factor: 6.937

4.  The Pitfalls of Thesaurus Ontologization - the Case of the NCI Thesaurus.

Authors:  Stefan Schulz; Daniel Schober; Ilinca Tudose; Holger Stenzhorn
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

5.  Relations as patterns: bridging the gap between OBO and OWL.

Authors:  Robert Hoehndorf; Anika Oellrich; Michel Dumontier; Janet Kelso; Dietrich Rebholz-Schuhmann; Heinrich Herre
Journal:  BMC Bioinformatics       Date:  2010-08-31       Impact factor: 3.169

6.  Top-level categories of constitutively organized material entities--suggestions for a formal top-level ontology.

Authors:  Lars Vogt; Peter Grobe; Björn Quast; Thomas Bartolomaeus
Journal:  PLoS One       Date:  2011-04-21       Impact factor: 3.240

7.  Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases.

Authors:  Filipe Santana; Daniel Schober; Zulma Medeiros; Fred Freitas; Stefan Schulz
Journal:  Bioinformatics       Date:  2011-07-01       Impact factor: 6.937

8.  OBML - Ontologies in Biomedicine and Life Sciences.

Authors:  Heinrich Herre; Robert Hoehndorf; Janet Kelso; Frank Loebe; Stefan Schulz
Journal:  J Biomed Semantics       Date:  2011-08-09

9.  Integrating systems biology models and biomedical ontologies.

Authors:  Robert Hoehndorf; Michel Dumontier; John H Gennari; Sarala Wimalaratne; Bernard de Bono; Daniel L Cook; Georgios V Gkoutos
Journal:  BMC Syst Biol       Date:  2011-08-11

10.  Evaluation of research in biomedical ontologies.

Authors:  Robert Hoehndorf; Michel Dumontier; Georgios V Gkoutos
Journal:  Brief Bioinform       Date:  2012-09-08       Impact factor: 11.622

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