-------- Original-Nachricht --------
Betreff: [AISWorld] IT in Emerging Markets - CFP, IEEE IT Professional
Datum: Wed, 2 Nov 2011 23:03:14 +1100
Von: San Murugesan <san(a)computer.org>
An: aisworld(a)lists.aisnet.org
*Call for papers*
*IT in emerging markets*
*Publication: /IT Professional/, July/August 2012
*
*Submission deadline: **1 December 2011
*http://www.computer.org/portal/web/computingnow/itcfp4
*Emerging markets*are attracting significant interest among IT
professionals and researchers. These markets, which include BRIC
(Brazil, Russia, India and China) countries, Mexico, Argentina, South
Africa, Indonesia, and South Korea, are embracing IT for socio-economic
development. In particular, they?re leveraging IT for communication,
information dissemination and access, education, banking, healthcare,
agriculture, government, and social development.
IT professionals and researchers are thus examining how IT can address
the real-world problems emerging markets face. However, these markets
have different requirements than developed markets and pose some unique
challenges.
§The July / August 2012 issue of /IT Professional/ will focus on IT in
emerging markets. The magazine solicits papers covering a range of
topics, including:
Innovative IT applications for emerging markets
§IT for economic and human development, communication,
healthcare, education, and weather forecasting in emerging markets
§The challenges in developing and deploying applications for
emerging markets
§Drivers and barriers to widespread adoption of IT in emerging markets
§Issues and challenges emerging markets face in embracing IT
§Interfaces, information presentation, and adoption to local languages
§Novel mobile applications for emerging markets
§IT infrastructures and application frameworks for emerging markets
§Cloud computing?s adoption and impact in emerging markets
§Strategies to narrowing the digital divide
§Problems faced by IT users and vendors in emerging markets
§Emerging markets? impact on the IT industry
Feature articles should be no longer than 4,200 words (with tables and
figures each counting as 300 words) and have no more than 20 references.
Illustrations are welcome.
For author guidelines, including sample articles see
http://www.computer.org/portal/web/peerreviewmagazines/acitpro.
Submit your article at https://mc.manuscriptcentral.com/itpro-cs.
For further information contact the guest editors:
*Gustavo Rossi*, Universidad Nacional de La Plata, Argentina
*San Murugesan*, BRITE Professional Services & Univ. of Western Sydney
*Nina Godbole*, IBM India
http://www.computer.org/portal/web/computingnow/itcfp4
-------- Original Message --------
Subject: [AISWorld] Contents of the latest issue of IJIIT 7(4)
Date: Tue, 1 Nov 2011 04:43:00 -0400
From: Vijayan Sugumaran <sugumara(a)oakland.edu>
To: <aisworld(a)lists.aisnet.org>
The contents of the latest issue of:
*International Journal of Intelligent Information
Technologies (IJIIT)*
Official Publication of the Information Resources Management
Association
Volume 7, Issue 4, October-December 2011
Published: Quarterly in Print and Electronically
ISSN: 1548-3657 EISSN: 1548-3665
Published by IGI Publishing, Hershey-New York, USA
www.igi-global.com/ijiit <http://www.igi-global.com/ijiit>
Editor-in-Chief: Vijayan Sugumaran, Oakland University, USA
*PAPER ONE*
Towards a Possibilistic Information Retrieval System Using
Semantic Query Expansion
Bilel Elayeb, ENSI Manouba University, Tunisia
Ibrahim Bounhas, Faculty of Sciences of Tunis, Tunisia
Oussama Ben Khiroun, ENSI Manouba University, Tunisia
Fabrice Evrard, Informatics Research Institute of Toulouse
(IRIT), France
Narjès Bellamine-BenSaoud, ENSI Manouba University, Tunisia
This paper presents a new possibilistic information
retrieval system using semantic query expansion. The work is
involved in query expansion strategies based on external
linguistic resources. In this case, the authors exploited
the French dictionary "Le Grand Robert". First, they model
the dictionary as a graph and compute similarities between
query terms by exploiting the circuits in the graph. Second,
the possibility theory is used by taking advantage of a
double relevance measure (possibility and necessity) between
the articles of the dictionary and query terms. Third, these
two approaches are combined by using two different
aggregation methods. The authors also benefit from an
existing approach for reweighting query terms in the
possibilistic matching model to improve the expansion
process. In order to assess and compare the approaches, the
authors performed experiments on the standard 'LeMonde94'
test collection.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/towards-possibilistic-information-retriev…
To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=60655
*PAPER TWO*
Effective Fuzzy Ontology Based Distributed Document Using
Non-Dominated Ranked Genetic Algorithm
M. Thangamani, Kongu Engineering College, India
P. Thangaraj, Bannari Amman Institute of Technology, India
The increase in the number of documents has aggravated the
difficulty of classifying those documents according to
specific needs. Clustering analysis in a distributed
environment is a thrust area in artificial intelligence and
data mining. Its fundamental task is to utilize characters
to compute the degree of related corresponding relationship
between objects and to accomplish automatic classification
without earlier knowledge. Document clustering utilizes
clustering technique to gather the documents of high
resemblance collectively by computing the documents
resemblance. Recent studies have shown that ontologies are
useful in improving the performance of document clustering.
Ontology is concerned with the conceptualization of a domain
into an individual identifiable format and machine-readable
format containing entities, attributes, relationships, and
axioms. By analyzing types of techniques for document
clustering, a better clustering technique depending on
Genetic Algorithm (GA) is determined. Non-Dominated Ranked
Genetic Algorithm (NRGA) is used in this paper for
clustering, which has the capability of providing a better
classification result. The experiment is conducted in 20
newsgroups data set for evaluating the proposed technique.
The result shows that the proposed approach is very
effective in clustering the documents in the distributed
environment.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/effective-fuzzy-ontology-based-distribute…
To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=60656
*PAPER THREE*
A Dynamically Optimized Fluctuation Smoothing Rule for
Scheduling Jobs in a Wafer Fabrication Factory
Toly Chen, Feng Chia University, Taiwan
This paper presents a dynamically optimized fluctuation
smoothing rule to improve the performance of scheduling jobs
in a wafer fabrication factory. The rule has been modified
from the four-factor bi-criteria nonlinear fluctuation
smoothing (4f-biNFS) rule, by dynamically adjusting factors.
Some properties of the dynamically optimized fluctuation
smoothing rule were also discussed theoretically. In
addition, production simulation was also applied to generate
some test data for evaluating the effectiveness of the
proposed methodology. According to the experimental results,
the proposed methodology was better than some existing
approaches to reduce the average cycle time and cycle time
standard deviation. The results also showed that it was
possible to improve the performance of one without
sacrificing the other performance metrics.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/dynamically-optimized-fluctuation-smoothi…
To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=60657
*PAPER FOUR*
A Heuristic Method for Learning Path Sequencing for
Intelligent Tutoring System (ITS) in E-Learning
Sami A. M. Al-Radaei, IT BHU, India
R. B. Mishra, IT BHU, India
Course sequencing is one of the vital aspects in an
Intelligent Tutoring System (ITS) for e-learning to generate
the dynamic and individual learning path for each learner.
Many researchers used different methods like Genetic
Algorithm, Artificial Neural Network, and TF-IDF (Term
Frequency- Inverse Document Frequency) in E-leaning systems
to find the adaptive course sequencing by obtaining the
relation between the courseware. In this paper, heuristic
semantic values are assigned to the keywords in the
courseware based on the importance of the keyword. These
values are used to find the relationship between courseware
based on the different semantic values in them. The dynamic
learning path sequencing is then generated. A comparison is
made in two other important methods of course sequencing
using TF-IDF and Vector Space Model (VSM) respectively, the
method produces more or less same sequencing path in
comparison to the two other methods. This method has been
implemented using Eclipse IDE for java programming, MySQL as
database, and Tomcat as web server.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/heuristic-method-learning-path-sequencing…
To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=60658
*****************************************************
For full copies of the above articles, check for this issue
of the *International Journal of Intelligent Information
Technologies (IJIIT) *in your institution's library. This
journal is also included in the IGI Global aggregated
"*InfoSci-Journals*" database:
http://www.igi-global.com/EResources/InfoSciJournals.aspx.
*****************************************************
*CALL FOR PAPERS*
Mission of IJIIT:
The advent of the World Wide Web has sparked renewed
interest in the area of intelligent information
technologies. There is a growing interest in developing
intelligent technologies that enable users to accomplish
complex tasks in web-centric environments with relative
ease, utilizing such technologies as intelligent agents,
distributed computing in heterogeneous environments, and
computer supported collaborative work. The mission of the
*International Journal of Intelligent Information
Technologies (IJIIT)* is to bring together researchers in
related fields such as information systems, distributed AI,
intelligent agents, and collaborative work, to explore and
discuss various aspects of design and development of
intelligent technologies. This journal provides a forum for
academics and practitioners to explore research issues
related to not only the design, implementation and
deployment of intelligent systems and technologies, but also
economic issues and organizational impact. Papers related to
all aspects of intelligent systems including theoretical
work on agent and multi-agent systems as well as case
studies offering insights into agent-based problem solving
with empirical or simulation based evidence are welcome.
Coverage of IJIIT:
The *International Journal of Intelligent Information
Technologies (IJIIT)* encourages quality research dealing
with (but not limited to) the following topics:
·Agent-based auction, contracting, negotiation, and ecommerce
·Agent-based control and supply chain
·Agent-based simulation and application integration
·Cooperative and collaborative systems
·Distributed intelligent systems and technologies
·Human-agent interaction and experimental evaluation
·Implementation, deployment, diffusion, and organizational
impact
·Integrating business intelligence from internal and
external sources
·Intelligent agent and multi-agent systems in various domains
·Intelligent decision support systems
·Intelligent information retrieval and business intelligence
·Intelligent information systems development using design
science principles
·Intelligent Web mining and knowledge discovery systems
·Manufacturing information systems
·Models, architectures and behavior models for
agent-oriented information systems
·Multimedia information processing
·Privacy, security, and trust issues
·Reasoning, learning, and adaptive systems
·Semantic Web, Web services, and ontologies
Interested authors should consult the journal's manuscript
submission guidelines www.igi-global.com/ijiit
<http://www.igi-global.com/ijiit>.
All inquiries and submissions should be sent to:
Editor-in-Chief: Dr. Vijayan Sugumaran at
sugumara(a)oakland.edu <mailto:%20sugumara@oakland.edu>
=======================================
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(a)oakland.edu <mailto:sugumara@oakland.edu>
=======================================
-------- Original Message --------
Subject: [AISWorld] AMCIS 2012 – Seattle - MINI-TRACK
PROPOSALS DUE on November 16, 2011
Date: Tue, 1 Nov 2011 15:31:50 +0000
From: Joshi, K. D. <joshi(a)wsu.edu>
To: 'aisworld(a)lists.aisnet.org' <aisworld(a)lists.aisnet.org>
Dear Colleagues,
We invite you to submit *mini-track* proposals for AMCIS
2012- /*Reflect and Redefine: Designing the Digital Future*//. /
Submit your mini-track proposal using the manuscript central
system at ? *http://mc.manuscriptcentral.com/amcis2012***
The deadline for proposal submissions is *November 16, 2011*
(12 midnight EST)
Proposals should be a maximum of 2 pages long. Proposals
should provide a brief one or two paragraph description of
the main theme, its importance and relevance to information
systems research and practice. You should also list some
potential topics for your mini-track. Each proposal must
list names and contact information of mini-track chair(s).
For a list of Tracks at AMCIS 2012, please go to:
http://amcis2012.aisnet.org/index.php/program/tracks-and-minitracks
Contact the appropriate Track Co-Chair(s) if you have any
questions.
We look forward to receiving your proposals.
Sincerely,
K.D. Joshi and Younjin Yoo
AMCIS 2012 Program Co-Chairs
*K. D. Joshi *
*Professor of Information Systems *
*Department of Entrepreneurship and Information Systems *
*University Profile
<http://www.cb.wsu.edu/directory/profile.cfm?emp=joshi_kd>*
*LinkedIn Profile
<http://www.linkedin.com/pub/k-d-joshi/3/417/5bb>*
**