During the past 30 years, there has been an explosion in the volume of
published medical information. As this volume has increased, so has t
he need for Efficient methods for searching the data. MEDLINE, the pri
mary medical database, is currently limited to abstracts of the medica
l literature. MEDLINE searches use AND/OR/NOT logical searching for ke
ywords that have been assigned to each article and for textwords inclu
ded in article abstracts. Recently, the complete text of some scientif
ic journals, including figures and tables, has become accessible elect
ronically. Keyword and textword searches can provide an overwhelming n
umber of results. Search engines that use phrase searching, or searche
s that limit the number of words between two finds, improve the precis
ion of search engines. The development of the Internet as a vehicle fo
r worldwide communication, and the emergence of the World Wide Web (WW
W) as a common vehicle for communication have made instantaneous acces
s to much of the entire body of medical information an exciting possib
ility. There is more than one way to search the WWW for information. A
t the present time, two broad strategies have emerged for cataloging t
he WWW: directories and search engines. These allow more efficient sea
rching of the WWW. Directories catalog WWW information by creating cat
egories and subcategories of information and then publishing pointers
to information within the category listings. Directories are analogous
to yellow pages of the phone book. Search engines make no attempt to
categorize information. They automatically scour the WWW looking for w
ords and then automatically create an index of those words. When a spe
cific search engine is used, its index is searched for a particular wo
rd. Usually, search engines are nonspecific and produce voluminous res
ults. Use of AND/OR/NOT and ''near'' and ''adjacent'' search refinemen
ts greatly improve the results of a search. Search engines that limit
their scope to specific sites, and metasearch sites that use multiple
search engines optimized for specific types of searches have recently
emerged. The distinctions between search engines and directory searche
s have blurred. Eventually, conceptual searching in which the computer
searches for related ideas, without having; to be given all the relat
ed keywords, may become a reality. This will free the user from having
to learn specific rules about searching, allowing energies to be focu
sed on results of the search, not the search itself. Copyright (C) 199
8 by W.B. Saunders Company.