[AISWorld] CFP - AMCIS 2013 - Intelligence and Intelligent Systems Track (Sponsored by SIGODIS)

[Vijayan Sugumaran]

Call for Papers

 

19th Americas Conference on Information Systems (AMCIS 2013) 

August 15-17, 2013, Chicago, Illinois

 

TRACK: Intelligence and Intelligent Systems (Sponsored by SIGODIS)

 

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).

 

Important Dates:

January 4, 2013:          Bepress Opens for Paper Submissions

February 22, 2013:      Submissions Due

April 22, 2013:            Author Notification of Acceptance

May 9, 2013:               Camera-Ready Copy Due

 

More information is available at http://amcis2013.aisnet.org/ or by
contacting the minitrack co-chairs.

 

MINI-TRACKS:

 

1. Mini-track: Application of Intelligent Agent and Multi-Agent Systems
(SIGODIS, SIGABIS)

 

Co-Chairs:     Vijayan Sugumaran, Oakland University, sugumara at oakland.edu 

Stefan Kirn, Universität Hohenheim, stefan.kirn at uni-hohenheim.de 

 

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).

 


Suggested Topics (not exhaustive)


• Application of intelligent agent and multi-agent systems in different
domains

• Distributed Intelligent Systems

• Agent communication, collaboration, and coordination

• Agents and web data mining

• Multi-agent technology and grid computing

• Architectures, environments and languages for e-commerce agents

• Automated shopping and trading agents

• Agent-based auction, negotiation and decision making

• Agent building tools and environments

• Agent driven interoperability and distributed decision support

• Software agents and knowledge management

• Agent-based Business Analytics

 

 

2. Mini-track: Business Issues in Web and Social Intelligence 

 

Co-Chairs:     Jai Ganesh, Infosys, jai_ganesh01 at infosys.com 

Don Heath, University of North Carolina at Greensboro, drheath2 at uncg.edu 

Rahul Singh, University of North Carolina at Greensboro, r_singh2 at uncg.edu 

 

Social Media facilitates participative computing and harnesses the Internet
in a more collaborative and peer-to-peer manner with an emphasis on social
interaction. It has less to do with technology and more to do with a
metamorphosis aimed at facilitating collaborative participation and
leveraging the collective intelligence of peers.

Enterprises explore Social Media Strategies to engage their end customers
and build competitive differentiation. Content generated in social
networking environments include discussion threads, chat room conversations,
blogs, and any other content posted by users. The accumulated content and
ideas becomes an aggregation of the collective intelligence of the user
community participating in those sites. The accumulated content can be an
asset that has value for both owners of the sites as well as the
organizations whose products and services are being discussed. Multiple
inference options exist for understanding the behavior of online social
networks. One area of analysis is that of focusing on the content purely, to
try to discover concepts, facts or opinions from the content posted by
users. A second type of analysis is to focus on the users themselves to
discover networks (or sub-groups) in the community and to learn how those
sub-groups get formed or change.

 


Suggested Topics (not exhaustive)


• Social Networks (Twitter, Linkedin, Youtube, Discussion Forums)

• Social Recommender Systems

• Internal & External Social Media Strategies of enterprises

• Message propagation in Social Networks

• Social Movements

• Crowd sourcing

• Opinion mining

• Social network analysis

• Organizational Network Analysis

• Innovative collaborative business models based on Social Media

• Social Media enabled value creation strategies

• Social Media based business value Webs

 

 

3. Mini-track: Customer Experience and Organizational Intelligence 

 

Co-Chairs:     Jai Ganesh, Infosys, jai_ganesh01 at infosys.com 

Don Heath, University of North Carolina at Greensboro, drheath2 at uncg.edu 

Rahul Singh, University of North Carolina at Greensboro, r_singh2 at uncg.edu 

 

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.

The end customer is at the focus, with various technologies, devices and
networks facilitating seamless computing, communication, collaboration as
well as commerce related functionalities to the end users. This is made
possible by embedding sensors, controllers, devices and data into the
physical spaces of human beings thereby facilitating seamless interactions.
Computing is revolutionizing the way humans interact with other humans,
devices, applications, networks, sensors, infrastructure, machines, services
etc. This provides interesting challenges for business intelligence and
decision support. Such scenarios have characteristics such as pervasive
computing devices including mobile phones, appliances, sensors etc.,
pervasive networks including wired and wireless networks, pervasive
ecosystem entities participating from formal as well as informal social
networks whereby entities engage across multiple locations, platforms etc.,
pervasive data resulting from exponential growth of data (both structured as
well as unstructured), ecosystem entities, sensors etc., pervasive computing
and storage power available on the go via cloud computing technologies.


 


Suggested Topics (not exhaustive)


• Engage end customers via multitude of devices and delivery channels

• Multi-modal user experiences & Immersive Interaction Technologies

• Enhance customer engagement by combining immersive interaction
technologies and multi-modal user experiences

• Enable enterprises to make intelligent decisions related to workforce
composition, collaboration, leadership and, employee retention

 

 

4. Mini-track: Modeling for Agents and Services

    

Co-Chairs:     Ghassan Beydoun, University of Wollongong, beydoun at uow.edu.au


Rubén Fuentes, Universidad Complutense de Madrid, ruben at fdi.ucm.es 

Dongming Xu, University of Queensland, d.xu at business.uq.edu.au 

 

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.

 


Suggested Topics (not exhaustive)


• Agent-based services

• Agent models and ontology in service science

• Applications of agent models

• Agent oriented software engineering trends

• Service modeling trends

• Service systems development and practice in different domains: Healthcare,
financial,

government, agriculture, education, entertainment, etc.

• Service requirements analysis, modeling and design

• Service design methodologies and related software patterns

• Evaluation of agent and service models

 

 

5. Mini-track: Semantic Web and Ontology

 

Co-Chairs:     Victoria Y Yoon, Virginia Commonwealth University,
vyyoon at vcu.edu 

Richard T Redmond, Virginia Commonwealth University, richard.redmond at vcu.edu


 

The vision of Semantic Web is to have data on the Web defined and linked in
such a way that machines can understand its meanings for automation, and
integration and reuse of data across various websites. The semantic
representation of data, augmented with ontology of domain theories, will
enable the Web to link a large network of human knowledge and make this
knowledge machine-understandable. This will enable various knowledge systems
to effectively process and reason the data to perform complex tasks.
Semantic Web has been recognized as one of the most important Information
Technologies and has received considerable attention from both academia and
industry. Semantic Web has made significant progress over several years when
numerous issues have been addressed and many applications have been
developed. However, despite all of these advances, the current state of
Semantic Web requires significant improvements to make it more effective in
a broader range of applications.

This mini-track aims to bring academicians and practitioners together to
exchange and share the latest results in research and application of
Semantic Web and Ontology. The mini-track will provide a forum for gaining a
better understanding of these new technologies and their business aspects.
Potential authors/researchers are encouraged to submit papers that address
the issues related to designing, developing, and evaluating Semantic
Web/Ontology from the technical, behavioral, economical, or managerial
perspectives.

 


Suggested Topics (not exhaustive)


• 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

• Managerial Issues of Semantic Web/Ontology

 

 

6. Mini-track: Social Media Analytics - Methods and Technologies

 

Co-Chairs:     Stefan Stieglitz, University of Münster,
stefan.stieglitz at uni-muenster.de 

Axel Bruns, Queensland University of Technology, a.bruns at qut.edu.au 

 

According to Zeng et al. (2010), social media analytics is supposed to
provide tools and frameworks to collect, monitor, analyze, summarize, and
visualize social media data in an automated way due to the massive amount of
(mostly unstructured) social media data. Methods of social media analytics
are e.g. automatic content analysis, machine learning, sentiment analysis,
manual content analysis, social network analysis, and genre analysis.
Currently there exists a wide spectrum of proprietary tools as well as open
source software which help researchers to gather and analyze social media
data. However, researchers still have to face several technical or
methodological problems, e.g. changing APIs, intransparent software, and
inaccurate automatic content analysis. At the same time there is a lack of
frameworks describing systematic approaches and appropriate methods and
techniques required for tracking, monitoring and analyzing content from
social media in different contexts.

The goal of this minitrack is to provide a forum for academics and
practitioners to identify and explore the methodological and technical
issues of social media analytics. Empirical (both quantitative and
qualitative) as well as theoretical work is welcome.

 


Suggested Topics (not exhaustive)


• Methods of Social Media Analytics

• Theories related to Social Media Analytics

• Case studies on organization-related communication in public social media

• Case studies on internal communication in organizational social media

• Exploration of patterns and metrics in social media communication

• Opinion Mining on Social Media communication

• Sentiment analysis on social media communication

• Crisis detection / early warning approaches based on social media data

• Predictive approaches based on social media communication

• Dynamics in social media communication

• Appearance of ad hoc events in social media

• Application of social network analysis on social media data

• Organizational strategies for engaging in social media

 

 

=======================================
Vijayan Sugumaran, Ph.D.

Professor of Management Information Systems

Department of Decision and Information Sciences

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: +1 248 370 2831

Fax: +1 248 370 4275

Email: sugumara at oakland.edu

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