IEEE IS special issue on semantic web technology


IEEE Intelligent Systems special issue on



In less than a decade, the World Wide Web (WWW) has become a major 
component of modern life. With the growing amount of information on the
Web, however, users are losing the means to organize and to search through 
all this content. Search engines produce more and more irrelevant hits,
and the business community struggles to provide the necessary levels of 
interoperability and data exchange necessary for the world of e-commerce.

There is an emerging awareness that providing the next wave of major change 
on the Web, and enabling business-to-business e-commerce requires a
new set of markup languages and tools that will allow more of the Web 
content—not just form—to become machine readable. Languages must be
developed that will allow for the recognition of the semantic context in 
which Web materials are used, for the reconciliation of terminological
differences between diverse user communities.

Tim Berners-Lee, the inventor of the Web, has named this web of ontology 
and logic the "semantic web". In recent years, a research community has
come into existence to make the vision a reality. Work in this area has led 
to exciting new innovations, including

      languages for expressing Web resources in a machine-interpretable manner
      new system architectures for enabling intelligent information access
      tools for providing support for finding, accessing, presenting, and 
maintaining information sources
      applications that fully exploit the new possibilities provided by 
machine-processable semantics.


The Web has dramatically changed the availability of information. Currently 
there are around 1000 million documents in the Web, which are used by
more than 200 million users internationally. Moreover, the number of Web 
resources is growing astronomically. The exponential grow of the Web
makes it increasingly difficult to find, access, present, and maintain the 
information of use to a wide variety of users. Currently, pages on Web must use
representations rooted in languages such as HTML or SGML and must make use 
of protocols that allow browsers to present information to human
readers. The information content, however, is mainly presented by natural 
language. Thus, there is a wide gap between the information available to
computer-based tools and the information kept in human-readable form.

We are soliciting papers for a special issue of IEEE Intelligent Systems 
that describe approaches that may help to realize the vision of the "semantic
Web". In particular, we are seeking papers on languages, architectures, 
tools, and applications of and for the semantic web.


Authors should note that IEEE Intelligent Systems is a journal of applied 
artificial intelligence, addressing the needs of both the research 
community and
the engineering community. A direct and lively writing style should be 
adopted. Manuscripts should be original and should have between 6 and 10
magazine pages (not more than 7500 words) with up to 10 references. For 
additional details, please refer to Manuscripts should be sent 
to in PDF format by December 20, 2000.


  Dieter Fensel
  Division of Mathematics & Computer Science
  Vrije Universiteit Amsterdam
  De Boelelaan 1081a, 1081 HV Amsterdam
  The Netherlands
  Tel. (mobil): +31-(0)6-51850619,
  Fax: +31-(0)20-872 27 22

                                                        Mark Musen
                                                        Stanford Medical 
                                                        Stanford University


  Submission deadline
  Acceptance decisions
  Revisions deadline
  Scheduled publication

                                 December 20, 2000
                                 January 20, 2001
                                 February 20, 2001
                                 Early 2001

Dieter Fensel
Division of Mathematics & Computer Science,
Vrije Universiteit Amsterdam,
De Boelelaan 1081a, 1081 HV Amsterdam, NL
The Netherlands
Room number U3.25.
Tel. (mobil): +31-(0)6-51850619,
Fax and Answering machine: +31-(0)20-872 27 22
Privat: Liendenhof 64, NL-1108 HB Amsterdam, The Netherlands.
Tel.: +31-(0)20-365 52 60.
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Received on Monday, 6 November 2000 06:56:44 UTC