help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

First published July 27, 2005 as JAMIA PrePrint; doi:10.1197/jamia.M1605
Journal of the American Medical Informatics Association 2005;12(6):657-666
© 2005 American Medical Informatics Association


A more recent version of this article appeared on November 1, 2005
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M1605v1
12/6/657    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Zhang, L.
Right arrow Articles by Cimino, J. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Zhang, L.
Right arrow Articles by Cimino, J. J.

Submitted on April 14, 2004
Accepted on July 25, 2005

Relationship Structures and Semantic Type Assignments of the UMLS Enriched Semantic Network

Li Zhang PhD1*, Michael Halper PhD2, Yehoshua Perl PhD1, James Geller PhD1, and James J. Cimino MD3

Affiliation of the authors: 1 Computer Science Department, New Jersey Institute of Technology, Newark, NJ; 2 Mathematics and Computer Science Department, Kean University, Union, NJ; 3 Department of Medical Informatics, Columbia University, New York, NY

* To whom correspondence should be addressed.

Objective The Enriched Semantic Network (ESN) was introduced as an extension of the UMLS Semantic Network (SN). Its multiple subsumption configuration and concomitant multiple inheritance make the ESN's relationship structures and semantic type assignments different from those of the SN. A technique for deriving the relationship structures of the ESN's semantic types and an automated technique for deriving the ESN's semantic type assignments from those of the SN are presented.

Design The technique to derive the ESN's relationship structures finds all newly inherited relationships in the ESN. All such relationships are audited for semantic validity, and the blocking mechanism is used to block invalid relationships. The mapping technique to derive the ESN's semantic type assignments utilizes current SN semantic type assignments and preserves nonredundant categorizations, while preventing new redundant categorizations.

Results Among the 426 newly inherited relationships, 326 are deemed valid. Seven blockings are applied to avoid inheritance of the 100 invalid relationships. Sixteen semantic types have different relationship structures in the ESN as compared to those in the SN. The mapping of semantic type assignments from the SN to the ESN avoids the generation of 26,950 redundant categorizations. The resulting ESN contains 138 semantic types, 149 IS-A links, 7,303 relationships, and 1,013,876 semantic type assignments.

Conclusion The ESN's multiple inheritance provides more complete relationship structures than in the SN. The ESN's semantic type assignments avoid the existing redundant categorizations appearing in the SN and prevent new ones that might arise due to multiple parents. Compared to the SN, the ESN provides a more accurate unifying semantic abstraction of the UMLS Metathesaurus.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 1994 by the American Medical Informatics Association.