Search (2 results, page 1 of 1)

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Abstract

Interactice knowledge-based indexing of the National Library of Medicine's MEDLINE database is advocated. It is established that in the current setting concept indexing is needed and cannot be fully automated. Compatibility between conventional and knowledge-based indexing is highlighted, followed by discussion of indexing as a cognitive process. The section of knowledge-based indexing describes how NLM's MedIndEx prototype addresses problems in conventional indexing and includes the contention that constructing a knowledge base adapted from a conventional classified thesaurus and indexing scheme is not as daunting as it may seem. Extension of the prototype to an intelligent search assistant illustrates use of the same knowledge base to integrate indexing and retrieval applications. Suggested are also future directions for knowledge-based indeing

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Abstract

A new, fully automated approach for indedexing documents is presented based on associating textwords in a training set of bibliographic citations with the indexing of journals. This journal-level indexing is in the form of a consistent, timely set of journal descriptors (JDs) indexing the individual journals themselves. This indexing is maintained in journal records in a serials authority database. The advantage of this novel approach is that the training set does not depend on previous manual indexing of thousands of documents (i.e., any such indexing already in the training set is not used), but rather the relatively small intellectual effort of indexing at the journal level, usually a matter of a few thousand unique journals for which retrospective indexing to maintain consistency and currency may be feasible. If successful, JD indexing would provide topical categorization of documents outside the training set, i.e., journal articles, monographs, Web documents, reports from the grey literature, etc., and therefore be applied in searching. Because JDs are quite general, corresponding to subject domains, their most problable use would be for improving or refining search results