Document (#39112)

Author

Wright, L.W.
Nardini, H.K.G.
Aronson, A.R.
Rindflesch, T.C.

Title

Hierarchical concept indexing of full-text documents in the Unified Medical Language System Information sources Map

Source

Journal of the American Society for Information Science. 50(1999) no.6, S.514-523

Year

1999

Abstract

Full-text documents are a vital and rapidly growing part of online biomedical information. A single large document can contain as much information as a small database, but normally lacks the tight structure and consistent indexing of a database. Retrieval systems will often miss highly relevant parts of a document if the document as a whole appears irrelevant. Access to full-text information is further complicated by the need to search separately many disparate information resources. This research explores how these problems can be addressed by the combined use of 2 techniques: 1) natural language processing for automatic concept-based indexing of full text, and 2) methods for exploiting the structure and hierarchy of full-text documents. We describe methods for applying these techniques to a large collection of full-text documents drawn from the Health Services / Technology Assessment Text (HSTAT) database at the NLM and examine how this hierarchical concept indexing can assist both document- and source-level retrieval in the context of NLM's Information Source Map project

Theme

Computerlinguistik
Wissensrepräsentation

Field

Medizin

Object

UMLS

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5. Hersh, W.R.; Hickam, D.H.: ¬A comparison of two methods for indexing and retrieval from a full-text medical database (1992) 0.25

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