International Journal of Knowledge Engineering and Data Mining

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What the editors say
about IJKEDM
Knowledge engineering and data mining are areas
that have great potential in shaping our future.
Indications are that the next break-throughs in
computational biology, bioinformatics, and
computational intelligence will only be possible by
advancements in knowledge engineering and data
mining. It is indeed a great pleasure and honor to
be on the editorial board of a journal that plans to
define the research road map for years to come.
Hamid R. Arabnia
Professor of Computer Science, U.S.A.The
University of Georgia, USA
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The Semantic Web aims to bridge the gap
between people and machines by introducing to
the machines semantics of information so to bring
the web to its full potential. The Semantic Web
research focuses on knowledge and intelligence
from its practical and applicable perspectives. It
covers a wide range of studies such as intelligent
browser, ontology integration, knowledge grid,
and web intelligence.
Dr. William Wei Song
Computer Science
University of Durham, U.K.
IJKEDM provides techniques and skills and
lessons learned with regard to knowledge
engineering and data mining. The ultimate goal is
to help business analysts, knowledge engineers,
IT professionals, medical informaticians,
academics and researchers to understand the
future direction and research development in
knowledge-based systems or intelligent
applications, and to enable them to identify the
right techniques and skills for development of
their applications in industrial, medical and
business sectors.
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Dr Adela Lau
Knowledge Management and Information
Systems Specialist
The Hong Kong Polytechnic University of
Hong Kong, China
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