Literature DB >> 14759817

Designing metaschemas for the UMLS enriched semantic network.

Li Zhang1, Yehoshua Perl, Michael Halper, James Geller.   

Abstract

The enriched semantic network (ESN) has previously been presented as an enhancement of the semantic network (SN) of the UMLS. The ESN's hierarchy is a DAG (Directed Acyclic Graph) structure allowing for multiple parents. The ESN is thus more complex than the SN and can be more difficult to view and comprehend. We have previously introduced the notion of a metaschema for the SN as a compact abstraction to support SN comprehension. We extend the definition of metaschema to make it applicable to a DAG classification hierarchy, such as the one exhibited by the ESN. We specify the requirements for and describe the general process of deriving such a metaschema. We derive two particular metaschemas of the ESN based on a pair of partitions. These two metaschemas and their underlying partitions are compared. Both metaschemas serve as compact representations of the ESN, allowing for convenient viewing of its hierarchy and easier comprehension.

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Year:  2003        PMID: 14759817     DOI: 10.1016/j.jbi.2003.11.006

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  3 in total

Review 1.  A review of auditing methods applied to the content of controlled biomedical terminologies.

Authors:  Xinxin Zhu; Jung-Wei Fan; David M Baorto; Chunhua Weng; James J Cimino
Journal:  J Biomed Inform       Date:  2009-03-12       Impact factor: 6.317

Review 2.  Abstraction networks for terminologies: Supporting management of "big knowledge".

Authors:  Michael Halper; Huanying Gu; Yehoshua Perl; Christopher Ochs
Journal:  Artif Intell Med       Date:  2015-04-02       Impact factor: 5.326

3.  An enriched unified medical language system semantic network with a multiple subsumption hierarchy.

Authors:  Li Zhang; Yehoshua Perl; Michael Halper; James Geller; James J Cimino
Journal:  J Am Med Inform Assoc       Date:  2004-02-05       Impact factor: 4.497

  3 in total

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