Betreff: | [AISWorld] AMCIS 2010: Agent Based Information Systems Track CFP |
---|---|
Datum: | Thu, 21 Jan 2010 15:07:30 -0500 |
Von: | Vijay Sugumaran <sugumara@oakland.edu> |
An: | <aisworld@lists.aisnet.org> |
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).