Knowledge‐based indexing of the medical literature: The Indexing Aid Project
Susanne M. Humphrey and
Nancy E. Miller
Journal of the American Society for Information Science, 1987, vol. 38, issue 3, 184-196
Abstract:
This article describes the Indexing Aid Project for conducting research in the areas of knowledge representation and indexing for information retrieval in order to develop interactive knowledge‐based systems for computer‐assisted indexing of the periodical medical literature. The system uses an experimental frame‐based knowledge representation language, FrameKit, implemented in Franz Lisp. The initial prototype is designed to interact with trained MEDLINE indexers who will be prompted to enter subject terms as slot values in filling in document‐specific frame data structures that are derived from the knowledge‐base frames. In addition, the automatic application of rules associated with the knowledge‐base frames produces a set of Medical Subject Heading (MeSH) keyword indices to the document. Important features of the system are representation of explicit relationships through slots which express the relations; slot values, restrictions, and rules made available by inheritance through “is‐a” hierarchies; slot values denoted by functions that retrieve values from other slots; and restrictions on slot values displayable during data entry. © 1987 John Wiley & Sons, Inc.
Date: 1987
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/(SICI)1097-4571(198705)38:33.0.CO;2-F
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:38:y:1987:i:3:p:184-196
Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571
Access Statistics for this article
More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().