Document Detail

Bidirectional mereological reasoning in anatomical knowledge bases.
MedLine Citation:
PMID:  11825258     Owner:  NLM     Status:  MEDLINE    
Mereological relationships--relationships between parts and wholes--are essential for ontological engineering in the anatomical domain. We propose a knowledge engineering approach that emulates mereological reasoning by taxonomic reasoning based on SEP triplets, a special data structure for the encoding of part-whole relations, which is fully embedded in the formal framework of standard description logics. We extend the SEP formalism in order to account not only for the part-of but also for the has-part relation, both being considered transitive in our domain. Furthermore we analyze the distinction between the ontological primitives singletons, collections and mass concepts in the anatomy domain and sketch how reasoning about these kinds of concepts can be accounted for in a knowledge representation language, using the extended SEP formalism.
S Schulz
Related Documents :
9779888 - Disseminating medical knowledge: the proforma approach.
9753978 - Electronic medical records for prenatal patients: challenges and solutions.
14699388 - Medical and dermatology dictionaries: an examination of unstructured definitions and a ...
11417198 - Neural network in communication with medical computer system.
18341158 - Sections 37/41 mental health act 1983: a study of judges' practice and assessment of ri...
16317318 - Visual-feedback therapy for antipsychotic medication adherence.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Proceedings / AMIA ... Annual Symposium. AMIA Symposium     Volume:  -     ISSN:  1531-605X     ISO Abbreviation:  Proc AMIA Symp     Publication Date:  2001  
Date Detail:
Created Date:  2002-02-04     Completed Date:  2002-05-24     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  100883449     Medline TA:  Proc AMIA Symp     Country:  United States    
Other Details:
Languages:  eng     Pagination:  607-11     Citation Subset:  IM    
Department of Medical Informatics, Freiburg University Hospital.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Anatomy / classification*
Artificial Intelligence
Models, Theoretical
Terminology as Topic
Vocabulary, Controlled

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Developing a protocol for an educational software competition.
Next Document:  Evaluation of clinician response to wireless technology.