Papers in PDF format

more specifically the contents page, the chapters, and the appendices, and gives them an identifier (number of
nodes) that will be strored within Matisse via use of the ‘Matisse’ module. Secondly, the compiler segments
these units in order to physically generate HTML files by use of the ‘FormatHtml’ module. This generation
constructs the structural links and prepares, for each node, the options that will permit improvement (cf
‘Personnalisation’ module). It is easy to understand why, for reasons of security, the ‘Nestor’ option that uses
the compiler is safeguarded by a password.
Personnalisation
This module offers the possibility to the users of improving the recommendations by the intermediary of
annotations, key words, and especially personalised links. In the latter case, the user can have, at any moment
for the current node, a snapshot of all the public personalised links that the group possesses. In the same
manner, the plurality of viewing points on a anchor must be taken account. For instance, the following
expression : Anchor (Cl) (Sc) (Dl) ❑ indicates to the user that :
• three links are associated to the anchor, namely a commented link, a simple commentary, and direct link,
• the last two links were not created by the user, indicated by italics,
• the signature of all these links and their complementary information is accessible by the activation of the
❑ symbol.
Conclusion and Perspectives
The ‘Nestor’ prototype has been recently experimented in a real environment. Two types of ASCII documents
were compiled, namely, a set of recommendations for CNET and documentation dedicated to the Python
programming language. The results of the two compilations are given in the following table :
Documentation Python Recommendations CNET
Number of documents 2 6
Number of bytes 183 471 518 845
Number of pages 86 213
Number of nodes 122 85
Number of structural links 427 408
Number of reference links 11 104
We are currently looking for people willing to test ‘Nestor’ in order to gather comments about its running and
its ergonomics. The adaptability manifests by the fact that the user enriches the hypertext via his own
knowledge. In the notion of adaptivity, the hypertext system takes the initiative by proposing links that might
be relevant to the user. In order to find such informal links, a neural approach, based upon the Hopfield model,
is currently under development.
Literature References
[Barthès et al. 86] Barthès, J-P., Vayssade, M., & Monika Miaczynska-Znamierowska (1986). Property Driven Data Bases.
Internal rapport of the University of Technology of Compi ègne.
[Berners-Lee 94] Berners-Lee, T. (1984). World Wide Web Initiative, CERN - European Particle Physics Laboratory.
http://info.cern.ch/hypertext/WWW/TheProject.html
[Bush 45] Bush, V. (1945). As we may think. Atlantic Monthly, July 1945, 101-108.
[Chen 76] Chen, P.P. (1976). The Entity-Relationship model : towards a a unified view of data. ACM Trans. on Database
Systems, 1 (1), 9-36.
[Engelbart 68] Engelbart, D. (1968). A research Center for Augmenting human intellect. AFIPS conference proceedings, 33
(1). Thompson books, Washington DC, 1968.