This article discusses the design of a digital library that addresses both
content and knowledge management. The design of the digital library feature
s two major distinctions: (1) the system incorporates a two-tier repository
system to facilitate content management, and (2) the system incorporates a
n object-oriented model to facilitate the management of temporal informatio
n and exploits information extraction and deductive inference to derive imp
lied knowledge based on the content of the digital library. The two-tier re
pository system relieves the system manager from manually maintaining the h
yperlinks among the Web pages, when the digital library content is updated.
The task of maintaining hyperlinks among Web pages can become cumbersome t
o the system manager if there are a large number of Web pages and hyperlink
s. With respect to knowledge management, this design aims at facilitating t
emporal information management and deriving implied relations among the obj
ects in the digital library. The motivation behind developing these knowled
ge processing utilities is to create a system that complements the capabili
ties of human beings. Deriving a comprehensive list of implied relations is
an exhausting task if the digital library contains a great amount of infor
mation and the number of implied relations is great. With such knowledge-pr
ocessing utilities, specialists are released from performing tedious work a
nd can, therefore, spend more time with more productive philosophical activ
ities to derive advanced knowledge. Applying knowledge management utilities
effectively can extend the applications of digital libraries to new dimens
ions.