Work

Medical WordNet

Year: 2004

Type: conference-paper

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.

Source: International Conference on Computational Linguistics

DOI: 10.3115/1220355.1220409

Authors: Barry Smith, Christiane Fellbaum

Institutions: University at Buffalo, State University of New York, Saarland University, Princeton University, Berlin-Brandenburg Academy of Sciences and Humanities

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: Alexander von Humboldt-Stiftung, European Commission, Volkswagen Foundation

OpenAlex ID: W1978023536

FWCI: 4.097

Cites: 45

Cited by: 49

Related to: 10