![](bg6.png)
Information whether and how the knowledge
repository reflects the needs of end-users can be
obtained by analyzing the user's interaction with the
system. For example which subjects are looked at,
how many results are delivered, which documents
are found and so on. This data is captured in the log
file (14). The log file is also processed in the
``Change need discovery & usage monitoring''
component (13). In contrast to the analysis of
annotation, the log-file analysis might result in the
requirements to update the knowledge repository.
The bugs and suggestions reported by the final users
of the system are stored in the bug list (15).
The changes derived from the user's behavior are
application-oriented and, after applying these
changes, the system should improve its
performances. The task of the validation component
(11) is to detect changes that decrease system
performance and to react appropriately. E.g. by
rolling back the changes involved, restoring the
original state of the whole system (the ontology,
annotations and the knowledge repository) in the
case of decreasing performance.
The ontology editor and ontology coverage
mapper (16) is an interface for ontology
management within the system. For example for the
coverage mapper it integrates with the knowledge as
stored in the system.
5 CONCLUSIONS
We derived a novel approach for dealing with
weight management. Specifically the dynamic
nature of the user behavior and the obesity related
research. The approach is based on a user-adaptive
system. In particular, we consider changes from
both user behavior perspectives as well as changes
of the (knowledge) environment. In order to allow
the system to handle the evolution during long-term
usage, the design of the system takes into account
the sustainable management of change.
The benefits of the proposed approach are
manifold: (i) the system can handle changing user
behavior and build up a long term trust relationship,
The system further allows the integration of different
adaptation models. (ii) The system will handle the
change of the environment. The evolution process
enables continuous system improvement by semi-
automatic discovery of changes. (iii) The system
provides a sustainable information system. The
validation component helps the maintainer in better
understanding of effects of each change providing
detailed insight into each change being performed.
ACKNOWLEDGEMENTS
Part of work from Lai Xu and Paul de Vrieze has
been performed at the CSIRO ICT Centre, Australia.
REFERENCES
Moore, R., Lopes, J., 1999. Paper templates. In
TEMPLATE’06, 1st International Conference on
Template Production. INSTICC Press.
Smith, J., 1998. The book, The publishing company.
London, 2
nd
edition.
Berendt, B., Hotho, A., and Stumme, G. 2002. Towards
Semantic Web Mining. In Proceedings of the First
international Semantic Web Conference on the
Semantic Web (June 09 - 12, 2002). I. Horrocks and J.
A. Hendler, Eds. Lecture Notes In Computer Science,
vol. 2342. Springer-Verlag, London, 264-278.
Heflin, J. 2001. Towards the Semantic Web: Knowledge
Representation in a Dynamic, Distributed
Environment. PhD thesis, University of Maryland,
College Park.
Klein, M. and Fensel, D. 2001. Ontology Versioning on
the Semantic Web. Proceedings of the International
Semantic Web Working Symposium (SWWS), pages
75–91.
Lerner, B. S. and Habermann A. N. 1990. Beyond schema
evolution to database reorganization. In
OOPSLA/ECOOP ’90: Proceedings of the European
conference on object-oriented programming on
Object-oriented programming systems, languages, and
applications, pages 67–76, New York, NY, USA.
Liu, B. Hsu, W. Han, H.-S. and Xia, Y. 2000 . Mining
changes for real-life applications. In DaWaK 2000:
Proceedings of the Second International Conference
on Data Warehousing and Knowledge Discovery,
pages 337–346, London, UK. Springer-Verlag.
Mann, W. and Thompson, S. 1987. Rhetorical Structure
Theory: A Framework for the Analysis of Texts.
University of Southern California, Information
Sciences Institute.
National institutes of Health, National Heart, Lung, and
Blood Institute, NHLBI Obesity Education Initiative,
and North American Association for the Study of
Obesity. 2008. The practical guide: Identification,
evaluation, and treatment of overweight and obesity in
adults.
http://www.nhlbi.nih.gov/guidelines/obesity/prctgd_c.
pdf. Last accessed Feb 4, 2008.
NHS. Clinical knowledge summaries.
http://www.cks.library.nhs.uk/.
de Vrieze, P. 2006 Fundaments of adaptive
personalisation. PhD thesis, Radboud University
Nijmegen. ISBN-13: 978-90-9021113-8.
Wing, R. and Phelan, S. 2005. Long-term weight loss
maintenance. American Journal of Clinical Nutrition,
82(1 (S)):222–225.
ADAPTATION DRIVEN CHANGE MANAGEMENT
293