Prospective Indexing in a Bibliographic Model for Harnessing the Internet.

Accession number;01A0404547
Title;Prospective Indexing in a Bibliographic Model for Harnessing the Internet.
Author; SCHELL C L (Medical Decisions Software, Inc., Fl, Usa)
Journal Title;Onrain Kensaku
Journal Code:Y0765A
ISSN:0286-3200
VOL.21;NO.3/4;PAGE.164-187(2000)
Figure&Table&Reference;FIG.3, REF.66
Pub. Country;Japan
Language;English
Abstract;Accurate retrieval of medical information is a problem at the heart of our profession. How can we harness the Internet for precise bibliographic control of medical information? Chepesuik, R.(1999) Taubes, G.(1995) This paper reviews the rationale for moving to an era of prospective indexing as part of the solution to this problem. Using prospective indexing, it then presents an envisioned indexing model of multiple layers. Prospective indexing, indexing done prior to publication, has come of age with the Internet. By eliminating the time-lag between a document's publication and indexing, knowledge becomes available sooner. With a million Web pages being generated every day, even faster search engines may lag behind. Clever Project Members.(1999) In 1996, I proposed prospective indexing Schell, CL.(1996) and we presented one model combining software for authors and the META tag feature of HTML. NLM classification was applied and we called it "metatagging MeSH" Schell, CL and Rathe, RJ.(1997). So upon Web release, a document is already indexed for retrieval. By merging prospective and retrospective indexing with other layers of processing knowledge, it may be possible to go beyond bibliographic mastery of the Web. Computers can be built, not just as word processors, but as knowledge processors. In conclusion, innovative indexing with pioneering technologies coalesce to lead us into a new era of prospective indexing and processing of knowledge for the 21st Century. (author abst.)