-------- Original-Nachricht -------- 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
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* 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).