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Mapping the UMLS Semantic Network into general ontologies.

A Burgun¹, O Bodenreider

¹National Library of Medicine, National Institutes of Health, Bethsda, Maryland, USA. burgun@nlm.nih.gov

Proceedings. AMIA Symposium

|February 9, 2002

Summary

This study mapped the Unified Medical Language System (UMLS) Semantic Network to the Upper Cyc Ontology (UCO) and WordNet. Findings show limited direct mapping but highlight WordNet

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Area of Science:

Bioinformatics
Medical Informatics
Ontology Engineering

Background:

Ontologies are crucial for organizing and retrieving biomedical information.
The Unified Medical Language System (UMLS) Semantic Network is a widely used biomedical ontology.
Interoperability between different ontologies is essential for data integration.

Purpose of the Study:

To assess the compatibility between the UMLS Semantic Network and the Upper Cyc Ontology (UCO).
To evaluate the semantic class compatibility between the UMLS and WordNet.
To explore the utility of WordNet for consumer health applications.

Main Methods:

Manual mapping of UMLS Semantic Types to UCO categories.
Comparison of semantic classes between UMLS and WordNet, focusing on the Health Disorder class.
Quantitative analysis of mapping exactness and class compatibility.

Main Results:

Approximately one-fifth of UMLS Semantic Types had exact mappings to UCO types, indicating UCO's broad but less specialized nature.
Only 2% of UMLS Health Disorder concepts were found in WordNet, with 48% class compatibility.
WordNet's general language focus makes it a valuable resource for lay knowledge in health.

Conclusions:

The UMLS Semantic Network shows partial compatibility with UCO and WordNet.
WordNet offers potential for consumer health informatics due to its accessible knowledge representation.
Further research is needed to enhance semantic interoperability between biomedical and general ontologies.

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