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Liebe Kolleginnen und Kollegen,
nachfolgend sende ich Ihnen 2 CfPs für
Minitracks auf der AmCIS 2010 in Lima/Peru.
Viele Gruesse, Stefan Kirn
........................................................................
Prof. Dr. Stefan Kirn
Universität Hohenheim
Information Systems 2 (510 O)
Schwerzstrasse 35
D-70599 Stuttgart
Germany
Phone: +49 (0) 711 459-24025
Fax: +49 (0) 711 459-22961
Email: stefan.kirn@uni-hohenheim.de
http://wi2.uni-hohenheim.de
.........................................................................
http://www.wi2.uni-hohenheim.de/
........................................................................
16th Americas Conference on Information
Systems
(AMCIS 2010 - http://amcis2010.org/)
Lima, Peru, August 12 - 15, 2010
TRACK: Agent-Based Information Systems
(SIGABIS)
Chair: Vijayan Sugumaran, Oakland University
Complete Papers Due: March 1, 2010
This Track is sponsored by AIS Special
Interest
Group on Agent-Based Information Systems (SIGABIS). Best papers from
this
Track will be fast tracked for publication in a special issue of
International
Journal of Intelligent Information Technologies (IJIIT).
The purpose of this track is to provide a
forum for academics and practitioners to identify and explore the
issues,
opportunities, and solutions related to semantic technologies and
intelligent
systems design, implementation, integration and deployment. An
increasing
number of artificial intelligence-based systems are being developed in
different application domains employing a variety of tools and
technologies.
This track is intended to increase cross-fertilization of ideas from
these
domains, and share the lessons learned.
Mini-Tracks
=========
* Artificial Intelligence and Data Mining
(Chair: Riyaz T. Sikora)
* Intelligent Agent & Multi-Agent
Systems
and Semantic Web Applications
(Co-chairs: Vijayan Sugumaran, Stefan Kirn)
A brief description of each of the
mini-tracks
is given below.
Mini-Track: Artificial Intelligence and
Data
Mining =====================================
Riyaz T. Sikora (co-chair SIGABIS)
University of Texas at Arlington
One of the side effects of the increase in
connectivity and collaboration has been the phenomenal increase in the
magnitude and volatility of the available data. Intelligent methods are
now emerging as a way to deal with this staggering variety and volume
of
data in distributed and heterogeneous environments. This has become
especially
relevant since most large-scale information systems applications of
today
assume that components will be added dynamically and that they will be
autonomous (serve different users or providers and fulfill different
goals)
and heterogeneous (be built in different ways).
The mini-track on AI and DM provides a
forum
to bring together like-minded researchers, teachers, and practitioners
to advance this important field. The AI/DM mini-track will seek
research
and applications highlighting the frontiers of new knowledge and
advances
in AI and DM. Topics of interest include, but are not limited to:
* Foundations of AI and DM
* Machine Learning and Statistical Learning
Algorithms
* Data Mining
* Pattern Recognition
* Intelligent Agents
* Heuristic Search
* Intelligent Information Retrieval
* Support Vector Machines
* Web/Text mining
* Intelligent Search Techniques
* Reinforcement Learning
Mini-Track: Intelligent Agent &
Multi-Agent
Systems and Semantic Web Applications
===============================================================
Vijayan Sugumaran, Oakland University
Stefan Kirn, Universität Hohenheim
Intelligent agent and semantic technologies
have been one of the most important and rapidly advancing areas in
Information
Technology. There is a tremendous explosion in the development of
multi-agent
systems and semantic web applications in a variety of fields such as
electronic
commerce, supply chain management, intelligent manufacturing, mass
customization,
information retrieval and filtering, decision support, simulation, and
healthcare. While research on various aspects of intelligent agent and
semantic technologies is progressing at a very fast pace, this is only
the beginning. There are still a number of issues that have to be
explored
in terms of the design, implementation and deployment of multi-agent
systems
and semantic technologies. For example, salient characteristics of
agents
in different domains, formal approaches for agent-oriented modeling,
ontology
based information system, ontology engineering, semantic web for
e-learning,
and organizational impact of agent-based systems & semantic
technologies
are some of the areas in need of further research. The purpose of this
mini-track is to provide a forum for academics and practitioners to
identify
and explore the issues, opportunities, and solutions related to
intelligent
agent and semantic technology design, implementation, integration and
deployment.
Possible Topics (but not limited to):
* Intelligent Applications in Business
* Distributed Intelligent Systems
* Agent architectures and behavior models
* Models and architectures for
agent-oriented
information systems
* Agent-oriented software engineering
* Multi-agent systems and applications in
various domains
* Agent collaboration and coordination
* Human and agent interaction models
* Agent-based e-commerce applications
* Semantic interoperability
* Semantic web for e-business and e-learning
* Service discovery, description, and
composition
* Semantic Web mining
* Ontology creation, evolution,
reconciliation,
and mediation
* Ontology mapping, Integration, and/or
alignment
* Software agents for Semantic Web
* Innovative Semantic Web/Ontology
applications
* Semantic technologies and tools
Best papers from both the mini-tracks will
be fast tracked for publication in a special issue of International
Journal
of Intelligent Information Technologies (IJIIT).