This proposal outlines a non-conventional method for constructing iden
tification keys, which should be applied mainly in algal groups with h
igh specific diversity. The authors attempt at reducing subjective or
intuitive elements involved in any standard identification by these si
mple procedures of handling taxonomic information by means of personal
computers. In spite of spectracular achievements in algal biochemistr
y and molecular genetics, the cyto-morphological approach in sampling
characters still remains the main component of present-day algal taxon
omy. The program proposed is equally suitable to create and employ ide
ntification keys for any particular group. The operational key consist
s of the authors' frame-program coupled with a set of three data files
for each particular group (check-list, coded diagnoses and character
data files). The program compares the coded taxonomic diagnoses of all
recorded taxa of the group with that of the investigated unknown alga
. The investigated alga is referred then by the computer to that recor
ded taxon which shows the highest degree of numerically evaluated over
all phenetic similarity.