Reminder: CFP: SEMANTIC SCIENTIFIC KNOWLEDGE INTEGRATION AAAI Spring Symposium Series Workshop; March 26-28; Papers Due Nov 2

Call for papers and panel proposals.  Apologies for multiple postings.

AAAI Spring Symposium Series Workshop

Organizers: Deborah L. McGuinness, Peter Fox, Boyan Brodaric

We welcome full papers, extended abstracts, position statements, as well
as panel proposals (indicating the names, affliations and email
addresses for all panelists). Email two to six-page submissions in PDF
format to Submissions will be judged on
technical merit and on potential to generate discussion and create
community collaboration. The organizers will prepare a technical report
summarizing the workshop. Additionally, the organizers plan to organize
a special issue of a journal on the same topic: selected authors of the
best papers will be invited to submit a longer version of their paper
for consideration in this special issue.

Important Dates (see web site 
<>for further dates/details):

Nov. 2 - submission deadline  (note: this is later than the general AAAI 
SSS default submission date and is a hard deadline)
Nov. 30 - review deadline
Jan. 25 - Camera Ready submission to AAAI (hard deadline)

Interest in and requirements for the next generation of information
technology for science are expanding. e-Science has become a growing
subject of discussion covering topics such as grid computing for science
and knowledge-enhanced scientific data retrieval. Within individual
science areas, we are experiencing the emergence of virtual
observatories such as those in astronomy, heliophysics, geophysics and
solar-terrestrial physics, where virtual distributed collections of
scientific data are made available in a transparent manner. The goal of
such efforts is to provide a scientific research environment that
provides software tools and interfaces to interoperating data archives.
While initial goals for these efforts may include relatively simple uses
of AI techniques, the medium and long range goals for these efforts
require full scale semantic integration of scientific data, thus they
present interesting motivations for and tests of artificial intelligence
Concurrent with the growing demand for next generation information
technology for science is a growth in semantic technologies. While
knowledge representation languages and environments continue to evolve,
some have reached a stable state in terms of reaching recommendation
status from standards bodies. This recommendation status has attracted
the interest of startup companies as well as established companies and a
number off academic and commercial tools and environments are now
available for use.
In this workshop, we are interested in bringing together the semantic
technologies community with the scientific information technology
community in an effort to build the general semantic science information
community. The workshop has multiple goals including obtaining
requirements for AI researchers from the scientific community, informing
the computational science community of AI research efforts that are
ready for use now or with additional research, and providing a forum for
current collaborative efforts to present their work.

Knowledge representation foundations for e-science,
Ontologies and ontology environments aimed at science integration 
Knowledge provenance / meta data /annotation for e-science,
AI-based scientific workflow,
AI-supported virtual observatories,
AI-supported community and collaboration for scientific application,
Knowledge-based extraction of scientific data and data models,
AI-based scientific interoperability,
Scientific semantic web services,
AI-supported scientific grid computing.
Query languages for science,
AI-based mapping and merging of scientific schemas

Received on Saturday, 27 October 2007 17:41:05 UTC