Talk about “Rule based Web for empowering Small and Medium Sized Industries”

[UMISA - University of Malaya International Students Association]

Faculty of Engineering, University of Malaya and Research Centre for
Knowledge Management and Intelligent Systems, University of Siegen,
Germany

is organising a talk on :

“Rule based Web for empowering Small and Medium Sized Industries”

by:
Madjid Fathi
Professor and Director
Institute for Knowledge Based Systems & Knowledge Management
Research Centre for Knowledge Management and Intelligent Systems
University of Siege, Germany

17th November 2011 (Thursday)
10:00 am – 11:30 am
Conference Room, Level 4,
Engineering Tower Block L
Faculty of Engineering
*All are welcome*

About the speaker:
Madjid Fathi (Prof. Dr.-Ing) is a professor and chair in the
department of Electrical Engineering and Computer Science, University
of Siegen. Madjid is the director of Institute of Knowledge Based
System (KBS). He is the founder and director of Research Center of
Knowledge Management and Intelligent System (KMIS). His research
interests are focused on Knowledge Management applications in Medicine
and Engineering, Computational Intelligence and Knowledge Discovery
from Text (KDT).

Madjid is the editor of Integrated Systems, Design and Technology
published by Springer, 2010 and also 8 books 2 of them text and the
rest edited books. He has more than 200 publications including 21
Journal publications, 4 paper awards and 170 platform presentations.
Currently he has 2 books under preparation. He is a senior member of
IEEE and member of editorial board of 5 respective journals. His
latest keynote speeches since 2008 were at IEEE-IET2008, IEEE-IET2009,
KMIS 2009, IEEE-SMC (UK) 2009, KMI 2009 & 2011, and IEEE-IET 2011. He
was a panellist at IEEE-IRI 2007, IC3K 2009, and iiWAS2009.


Abstract:
Besides existing technologies, Small and Medium-sized industries
require novel approaches and integrated components to facilitate
decision making and knowledge transfer. Knowledge Management
integration in decision and problem solving endeavours provide a basis
for utilizing human and process oriented indicators towards optimizing
organizational management process. We, humans, have the ability to
distinguish not only between irrelevant and unimportant features but
also between the important and essentials ones. Knowledge browsing,
retrieval and discovery (e.g. Knowledge Discovery in Databases – KDD
and Knowledge Discovery from Text – KDT) through existing web
technologies are arising challenges and complexities. Intelligent
processing of contents and human competencies needs innovative and
adaptive strategies. In this context, Rule-based Web empowers
integrating semantics techniques i.e. Rule-based techniques for
complex decision making, multi-lateral indicators and human
collaboration. This practice-oriented strategy (entitled as WEB.X) is
currently investigated at our research center KMIS particularly in
knowledge transfer for Alzheimer Patients in cooperation with
University-Hospital Cologne, and for adaptive process control in
semiconductor manufacturing.