Association for Information Systems Conference, August 7 - 9, 2014

Details

Track Chairs:

Vijayan Sugumaran, Oakland University, This email address is being protected from spambots. You need JavaScript enabled to view it.
Rahul Singh, University of North Carolina – Greensboro, This email address is being protected from spambots. You need JavaScript enabled to view it.
Jai Ganesh, Cognizant, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Donald Heath, University of North Carolina-Greensboro,This email address is being protected from spambots. You need JavaScript enabled to view it." target="_blank"> This email address is being protected from spambots. You need JavaScript enabled to view it.

Track Description:

The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions regarding intelligence related to business and systems including the social web, 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 areas, share lessons learned and stimulate areas for further research.

This Track is sponsored by AIS Special Interest Group on Ontology Driven Intelligent Systems (SIGODIS). Selected papers from this Track will be invited for fast tracked publication in special issues of the International Journal of Intelligent Information Technologies (IJIIT) and the Journal of Information Science and Technology (JIST).

Mini-Tracks:

Customer Experience and Organizational Intelligence

Jai Ganesh, Cognizant, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Donald Heath, UNC Greensboro, This email address is being protected from spambots. You need JavaScript enabled to view it.
Rahul Singh, UNC Greensboro, This email address is being protected from spambots. You need JavaScript enabled to view it.

Enterprises are increasingly adopting technologies which offer immersive experiences for their end customers. This is driven by increasing competitive pressures, the need to differentiate, expand reach to the consumer, improve conversion, and sustain customer loyalty. With online interactions poised for strong growth and likely to grow into a significant chunk of total business, enterprises are seeking answers to issues such as differentiating user experience on their points of interaction, increasing reach to the consumer, improving conversion rates on the website, sustaining consumer loyalty, etc.

Web and Social Intelligence

Donald Heath, UNC Greensboro, This email address is being protected from spambots. You need JavaScript enabled to view it.
Jai Ganesh, Cognizant, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Rahul Singh, UNC Greensboro, This email address is being protected from spambots. You need JavaScript enabled to view it.

Enterprises are increasingly exploring Social Media Strategies to identify and engage their end customers and build competitive differentiation. Content generated in social networking environments would include discussion threads, logs of chat room conversations, contents of blogs, and any other content posted by users. The accumulated content and ideas within successful social networking environments thus becomes an aggregation of the collective intelligence of the user community participating in those sites. The accumulated content can be considered as an asset that has value, which can be tapped through the right types of analyses. This asset has potential value to both owners of the sites as well as the organizations whose products and services being discussed It presents significant implications for enterprises wanting to leverage social networks to draw insights and inferences on user participation and preferences expressed in networks.

Application of Intelligent Agent and Multi-Agent Systems

Vijayan Sugumaran, Oakland University, This email address is being protected from spambots. You need JavaScript enabled to view it.
Stefan Kirn, Universitat Hohenheim, This email address is being protected from spambots. You need JavaScript enabled to view it.

While research on various aspects of multi-agent systems and semantic technologies is progressing at a fast pace, there are still a number of issues that have to be explored in terms of the design and implementation of agent based systems. The purpose of this mini-track is to provide a forum for academics and practitioners to identify and explore the issues and opportunities in using agent technologies for the design, implementation, and deployment of intelligent systems. This mini-track is intended to increase cross-fertilization of ideas from various domains, and share the lessons learned. It is expected to serve as the spring-board for gathering and disseminating experiences gained in implementing and integrating agent based systems. Best papers from this mini-track will be fast tracked for publication in a special issue of International Journal of Intelligent Information Technologies (IJIIT).

Modelling for Agents and Services

Ghassan Beydoun, University of Wollongong, This email address is being protected from spambots. You need JavaScript enabled to view it.
Rubén Fuentes, Universidad Complutense de Madrid, Spain, This email address is being protected from spambots. You need JavaScript enabled to view it.
Dongming Xu, University of Queensland, Australia, This email address is being protected from spambots. You need JavaScript enabled to view it." target="_blank">This email address is being protected from spambots. You need JavaScript enabled to view it.

The objective of this mini-track is to encourage and renew research in agents and service-based systems with an emphasis on the modeling perspective on these systems. Recent modeling efforts in the agent software engineering community have produced many languages, methods and frameworks that facilitate the development of multiagent systems. There have also been many efforts to facilitate the use of agents to implement service-based systems and orthogonal efforts to model service-based systems. This mini-track seeks to encourage the exploration of the use of agent models to facilitate the modeling and delivery of service-based systems, using agent systems or otherwise. The purpose of this mini-track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions that improve the modeling of service systems and at the same time to further the scope of agent oriented software engineering.

Mini-Track on Semantic Technologies and Big Data Analytics

Victoria Yoon, Virginia Commonwealth University, This email address is being protected from spambots. You need JavaScript enabled to view it.
Richard Redmond, Virginia Commonwealth University, This email address is being protected from spambots. You need JavaScript enabled to view it.

The semantic heterogeneity among excessive volume of diverse data imposes a serious challenge for big data analytics. This mini-track aims to bring academicians and practitioners together to exchange and share the latest results in research and application of Semantic Integration for Big Data Analytics. The mini-track will provide a forum for gaining a better understanding of the new technologies and their business aspects for semantic integration for big data analytics.