MHonArc test archive
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
CFP: AI-Driven Technologies for SOC (Workshop @AAAI-06)
- Subject: CFP: AI-Driven Technologies for SOC (Workshop @AAAI-06)
- From: "Huhns, Michael" <huhns@xxxxxxxxxxx>
- Date: Tue, 28 Mar 2006 10:10:56 -0500
AAAI-06 Workshop on AI-Driven Technologies for Services-Oriented
Computing
Full Day Workshop (Workshop Website: http://lsdis.cs.uga.edu/ai-soc)
** Paper Submission Deadline: March 31, 2006 Midnight PST **
Call For Papers:
Services-oriented computing (SoC) is an emerging computing paradigm
for distributed systems that advocates Web-based interfaces for the
distributed business processes of any enterprise. The interfaces,
called Web services (WS), hold the promise for diluting the
traditional challenges of interoperability, inflexibility, and
performance that have long plagued the traditional distributed systems.
Historically, research in distributed systems has shied away from
adopting relevant AI methodologies; they have been generally perceived
as esoteric and computationally-intensive. However, SoC research
represents a significant departure from this line of thought, and
presents a singular opportunity for AI techniques to enter and
pervade this emerging area. From the AI researcher's perspective,
SoC represents an emerging application testbed with its own
distinct challenges and the potential to significantly impact both
the industry and academia.
The goal of the workshop is to investigate the applicability of AI
methodologies such as logic, theorem proving, search, planning, and
probabilistic models to problems in SoC. In particular, AI techniques
seem especially suited to address the problems of WS description,
discovery, binding, WS process composition and execution, semantics for
WS, and related issues. They complement and supplement the existing
approaches by bringing the much required mathematical rigor and formal
analysis to the area.
We invite academic/industrial researchers and practitioners to submit
original research papers, well-written surveys, or papers describing
deployed systems to the workshop. The papers must not exceed 8 pages in
length including references and should be prepared using the AAAI
formatting guidelines. The papers should be submitted using the
submission system on the workshop website. Each paper will be reviewed
by at least 2 members of the PC. The topics of interest to this workshop
include but are not limited to:
* WS representation and modeling using logics/calculi (zero-order,
first-order, higher-order)
* WS description validation and consistency checking using inference
rules and theorem-provers
* Representation of and reasoning on WS negotiations, agreements,
contracts, and quality of service guarantees
* WS composition, orchestration, and choreography through planning and
scheduling
* Self-aware, self-optimizing, and self-healing Web processes
* Probabilistic reasoning for fault-tolerant and robust Web
processes
* Support for dynamic and adaptive Web processes using machine
learning
* Web process flow enactment using multiagent systems
* Conceptual inferencing for semantic WS using inference rules
* Ontology reconciliation (mapping, merging, and integration) for
semantic WS using logical and probabilistic models
* Service knowledge propagation mechanisms
* Frameworks, community, and deployment architectures for
services-based agents
* Verification and analysis of services-based agent communities
* Intelligent methods for management and performance analysis of
services on the Grid
* New AI application areas in SoC
* Deployed/industrial applications in SoC utilizing AI techniques
Paper Submission: March 31, 2006 Midnight PST
Decision Notification: April 24, 2006
Camera Ready Papers: May 15, 2006 Midnight PST
Organizing Committee:
Prashant Doshi
LSDIS Lab, University of Georgia
Richard Goodwin
IBM T. J. Watson Research Center
Amit Sheth
LSDIS Lab, University of Georgia
Program Committee:
Rama Akkiraju
Nirmit Desai
John Domingue
Michael Huhns
Vipul Kashyap
Joseph Kopena
Juhnyoung Lee
David Martin
E. Michael Maximilien
Sheila McIlraith
Muninder Singh
Rainer Unland
Kunal Verma
Mathias Weske
Home |
Main Index |
Thread Index