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<p class=MsoPlainText>16th Americas Conference on Information Systems (AMCIS
2010 - <a href="http://amcis2010.org/">http://amcis2010.org/</a>)<o:p></o:p></p>
<p class=MsoPlainText>Lima, Peru, August 12 - 15, 2010<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>TRACK: Agent-Based Information Systems (SIGABIS)<o:p></o:p></p>
<p class=MsoPlainText>Chair: Vijayan Sugumaran, Oakland University<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>Complete Papers Due: March 1, 2010<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>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). <o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>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.<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>Mini-Tracks<o:p></o:p></p>
<p class=MsoPlainText>=========<o:p></o:p></p>
<p class=MsoPlainText>* Artificial Intelligence and Data Mining (Chair: Riyaz
T. Sikora)<o:p></o:p></p>
<p class=MsoPlainText>* Intelligent Agent & Multi-Agent Systems and
Semantic Web Applications <o:p></o:p></p>
<p class=MsoPlainText> (Co-chairs: Vijayan Sugumaran, Stefan Kirn)<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>A brief description of each of the mini-tracks is given
below.<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>Mini-Track: Artificial Intelligence and Data Mining<o:p></o:p></p>
<p class=MsoPlainText> =======================================<o:p></o:p></p>
<p class=MsoPlainText>Riyaz T. Sikora (co-chair SIGABIS)<o:p></o:p></p>
<p class=MsoPlainText>University of Texas at Arlington<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>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).<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>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:<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Foundations of AI and DM<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Machine Learning and
Statistical Learning Algorithms<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Data Mining<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Pattern Recognition<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Intelligent Agents<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Heuristic Search<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Intelligent Information
Retrieval<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Support Vector Machines<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Web/Text mining<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Intelligent Search Techniques<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Reinforcement Learning<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>Mini-Track: Intelligent Agent & Multi-Agent Systems
and Semantic Web Applications
===================================================================<o:p></o:p></p>
<p class=MsoPlainText>Vijayan Sugumaran, Oakland University<o:p></o:p></p>
<p class=MsoPlainText>Stefan Kirn, Universität Hohenheim<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>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.<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>Possible Topics (but not limited to):<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Intelligent Applications in
Business<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Distributed Intelligent
Systems<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Agent architectures and
behavior models<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Models and architectures for
agent-oriented information systems<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Agent-oriented software
engineering<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Multi-agent systems and
applications in various domains<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Agent collaboration and
coordination<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Human and agent interaction
models<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Agent-based e-commerce
applications<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Semantic interoperability<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Semantic web for e-business
and e-learning<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Service discovery,
description, and composition<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Semantic Web mining<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Ontology creation, evolution,
reconciliation, and mediation<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Ontology mapping, Integration,
and/or alignment<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Software agents for Semantic
Web<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Innovative Semantic
Web/Ontology applications<o:p></o:p></p>
<p class=MsoPlainText style='text-indent:.5in'>* Semantic technologies and
tools<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText>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). <o:p></o:p></p>
<p class=MsoNormal><span style='font-family:"Arial","sans-serif"'><o:p> </o:p></span></p>
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