Medical WordNet: a new methodology for the construction and validation of information resources for consumer health

Authors:
Barry Smith;Christiane Fellbaum
Affiliations:
University at Buffalo, Buffalo, NY and Saarland University, Saarbrücken, Germany;Princeton University, Princeton, NJ and Berlin-Brandenburg Academy of Sciences, Berlin, Germany
Venue:
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Year:
2004

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Abstract

A consumer health information system must be able to comprehend both expert and nonexpert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting of medically relevant terms used by and intelligible to non-expert subjects and supplemented by a corpus of natural-language sentences that is designed to provide medically validated contexts for MWN terms. The corpus derives primarily from online health information sources targeted to consumers, and involves two sub-corpora, called Medical FactNet (MFN) and Medical BeliefNet (MBN), respectively. The former consists of statements accredited as true on the basis of a rigorous process of validation, the latter of statements which non-experts believe to be true. We summarize the MWN / MFN / MBN project, and describe some of its applications.