Quality & Quantity (2006) 40:911–933 © Springer 2006
The Smart Library Architecture
of an Orientation Portal
, S. TERZI, G. MAURELLI, M. CAPRIOTTI and
Semeion Centro Ricerche di Scienze della Comunicazione, Roma, Italy
Abstract. The high potential for synergies between Knowledge Management (KM) and
e-Learning seems obvious given the many interrelations and dependencies of these two ﬁelds.
However, the relationship has not yet been fully understood and harnessed. This paper
intends to unfold the potential achievable by the use of Artiﬁcial Neural Networks, in
order to integrate the proﬁling of the student, in terms of competences and preferences,
the development of the educational pathways desired and the professional skills to achieve.
The adaptive interaction through the students and the Orientation Portal is guaranteed by
the ﬂexibility and the scalability of Artiﬁcial Adaptive System and their learning by doing
Key words: artiﬁcial neural networks, competences analysis, e-Learning, knowledge
The philosophy inspiring this project is to show new ways of learning, can-
celing the distance between the development of speciﬁc professional skills
and the university’s offering of tools that are appropriate to the task. It
is a formula that marries the existing technology, e-learning, with the data
processing tools available with Artiﬁcial Intelligence, particularly with Arti-
ﬁcial Neural Networks (ANNs). This is an innovative approach, which will
open a new scenario within the context of long-distance learning, providing
highly innovative tools to analyze skills and plan educational pathways.
The term e-learning broadly indicates the possibility of long-distance
learning through internet technology. But there is a dimension that needs
to precede and complete the simple access to didactic material through the
web: the planning of a personalized educational pathway.
The orientation portal is primarily born as an interactive support able
to show the path the student has to take on in order to reach a speciﬁc
Author for correspondence: M. Buscema, Semeion Centro Ricerche di Scienze della
Comunicazione, Roma, Italy. E-mail: firstname.lastname@example.org