<font size=2 face="Calibri"><b>Journal of Database Management (JDM)</b></font>
<br><font size=2 face="Calibri">Official Publication of the Information
Resources Management Association</font>
<br><font size=2 face="Calibri">Volume 23, Issue 1, January-March 2012</font>
<br><font size=2 face="Calibri">Published: Quarterly in Print and Electronically</font>
<br><font size=2 face="Calibri">ISSN: 1063-8016 EISSN: 1533-8010</font>
<br><font size=2 face="Calibri">Published by IGI Publishing, Hershey-New
York, USA</font>
<br><a href="http://www.igi-global.com/jdm"><font size=2 color=blue face="Calibri"><u>www.igi-global.com/jdm</u></font></a>
<br>
<br><font size=2 face="Calibri">Editor-in-Chief: Keng Siau, University
of Nebraska - Lincoln, USA</font>
<br>
<br>
<br><font size=2 face="Calibri"><b>PAPER ONE</b></font>
<br>
<br><font size=2 face="Calibri">Knowledge Representation: A Conceptual
Modeling Approach</font>
<br>
<br><font size=2 face="Calibri">Cecil Eng Huang Chua, University of Auckland,
New Zealand</font>
<br><font size=2 face="Calibri">Veda C. Storey, Georgia State University,
USA</font>
<br><font size=2 face="Calibri">Roger H. L. Chiang, University of Cincinnati,
USA</font>
<br>
<br><font size=2 face="Calibri">Substantial work in knowledge engineering
has focused on eliciting knowledge and representing it in a computational
form. However, before elicited knowledge can be represented, it must be
integrated and transformed so the knowledge engineer can understand it.
This research identifies the need to separate knowledge representation
into human comprehension and computational reasoning and shows that this
will lead to better knowledge representation. Modeling of human comprehension
is called conceptual knowledge representation. The Conceptual Knowledge
Representation Scheme is developed and validated by conducting a combined
qualitative/quantitative repeated-measures experiment comparing the Conceptual
Knowledge Representation Scheme to two computation-oriented ones. The results
demonstrate that the Conceptual Knowledge Representation Scheme better
facilitates human comprehension than existing representation schemes. Four
principles of the Conceptual Knowledge Representation Scheme emerge that
help to attain effective knowledge representation. These are: (1) a focus
on human comprehension only, (2) design around natural language, (3) addition
of constructs common in the domain, and (4) constructs for representing
abstract versions of detailed concepts.</font>
<br>
<br><font size=2 face="Calibri">To obtain a copy of the entire article,
click on the link below.</font>
<br><a href="http://www.igi-global.com/article/knowledge-representation-conceptual-modeling-approach/62030"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/article/knowledge-representation-conceptual-modeling-approach/62030</u></font></a>
<br>
<br><font size=2 face="Calibri">To read a PDF sample of this article, click
on the link below.</font>
<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=62030"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/viewtitlesample.aspx?id=62030</u></font></a>
<br>
<br>
<br><font size=2 face="Calibri"><b>PAPER TWO</b></font>
<br>
<br><font size=2 face="Calibri">Situational Method Engineering to Support
Process-Oriented Information Logistics: Identification of Development Situations</font>
<br>
<br><font size=2 face="Calibri">Tobias Bucher, PHOENIX Group, Germany</font>
<br><font size=2 face="Calibri">Barbara Dinter, University of St. Gallen,
Switzerland</font>
<br>
<br><font size=2 face="Calibri">Process-oriented information logistics
is proposed as a novel concept aimed at supporting and improving the execution
of an organization’s operational processes by the embedding of analytic
information and/or analysis capabilities into process execution. The article
reports on findings of an exploratory study that is directed at identifying
design factors and realization approaches of process-oriented information
logistics. Based on this empirical analysis, so-called development situations
are identified. They represent abstractions of situational characteristics
that influence the applicability, effectiveness, and efficiency of an information
systems development method. The development situations are systematized
in a so-called context type vs. project type matrix. Insights into development
situations of process-oriented information logistics are particularly useful
for the engineering of situational methods aimed at the implementation
and advancement of this concept.</font>
<br>
<br><font size=2 face="Calibri">To obtain a copy of the entire article,
click on the link below.</font>
<br><a href="http://www.igi-global.com/article/situational-method-engineering-support-process/62031"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/article/situational-method-engineering-support-process/62031</u></font></a>
<br>
<br><font size=2 face="Calibri">To read a PDF sample of this article, click
on the link below.</font>
<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=62031"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/viewtitlesample.aspx?id=62031</u></font></a>
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<br>
<br><font size=2 face="Calibri"><b>PAPER THREE</b></font>
<br>
<br><font size=2 face="Calibri">An Interpreter Approach for Exporting Relational
Data into XML Documents with Structured Export Markup Language</font>
<br>
<br><font size=2 face="Calibri">Joseph Fong, City University of Hong Kong,
Hong Kong</font>
<br><font size=2 face="Calibri">Herbert Shiu, City University of Hong Kong,
Hong Kong</font>
<br>
<br><font size=2 face="Calibri">Almost all enterprises use relational databases
to handle real time business operations and most need to generate various
XML documents for data exchanges internally among various departments and
externally with business partners. Exporting data in a relational database
to an XML document can be considered a data conversion process. Based on
the four approaches for data conversion: Customized program, Interpretive
transformer, Translator generator, and Logical level translation, this
paper proposes a new interpretive approach using Structured Export Markup
Language (SEML) interpreter for converting relational data into XML documents.
The frameworks and languages proposed by other researchers are neither
generic nor able to generate arbitrary XML documents. Therefore, SEML interpreter
is a simple, user friendly, and complete solution with a new mark-up language
– SEML – for data conversion. The solution can be used as a generic tool
for extracting, transforming, and loading (ETL) purposes. In other words,
the SEML interpreter is a solution for relational databases similar to
what X-Query is for XML databases.</font>
<br>
<br><font size=2 face="Calibri">To obtain a copy of the entire article,
click on the link below.</font>
<br><a href="http://www.igi-global.com/article/interpreter-approach-exporting-relational-data/62032"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/article/interpreter-approach-exporting-relational-data/62032</u></font></a>
<br>
<br><font size=2 face="Calibri">To read a PDF sample of this article, click
on the link below.</font>
<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=62032"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/viewtitlesample.aspx?id=62032</u></font></a>
<br>
<br>
<br><font size=2 face="Calibri"><b>PAPER FOUR</b></font>
<br>
<br><font size=2 face="Calibri">A Unified Fuzzy Data Model: Representation
and Processing</font>
<br>
<br><font size=2 face="Calibri">Avichai Meged, Bar-Ilan University, Israel</font>
<br><font size=2 face="Calibri">Roy Gelbard, Bar-Ilan University, Israel</font>
<br>
<br><font size=2 face="Calibri">A novel fuzzy data representation model
which enables data mining with standard tools is introduced. Many data
elements in the world are fuzzy in nature. There is an obvious need to
represent and process such data effectively and efficiently, using the
same standard tools for crisp data that are popular with researchers and
practitioners alike. Currently, however, standard tools cannot process
or analyze data that are not adequately represented. The comprehensive
data representation model put forward here extends principles of binary
databases and provides a unified approach to all types of data: discrete
and continuous, crisp and fuzzy. The model is illustrated on a baseline
dataset and tested in clustering experiments matched against controlled
groupings and a real dataset. The tests confirm that the implementation
of the model not only enables the use of standard tools but also yields
better results as regards segmentation and clustering of fuzzy datasets.</font>
<br>
<br><font size=2 face="Calibri">To obtain a copy of the entire article,
click on the link below.</font>
<br><a href="http://www.igi-global.com/article/unified-fuzzy-data-model/62033"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/article/unified-fuzzy-data-model/62033</u></font></a>
<br>
<br><font size=2 face="Calibri">To read a PDF sample of this article, click
on the link below.</font>
<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=62033"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/viewtitlesample.aspx?id=62033</u></font></a>
<br>
<br>
<br><font size=2 face="Calibri"><b>PAPER FIVE</b></font>
<br>
<br><font size=2 face="Calibri">A Model of Error Propagation in Conjunctive
Decisions and its Application to Database Quality Management</font>
<br>
<br><font size=2 face="Calibri">Irit Askira Gelman, DQIQ, USA</font>
<br>
<br><font size=2 face="Calibri">This study centers on the accuracy dimension
of information quality and models the relationship between input accuracy
and output accuracy in a popular class of applications. These applications
consist of dichotomous decisions that are implemented through conjunction
of selected criteria. In particular, the model provides the tools for quantifying
the effect of errors in each decision input on the accuracy of a decision.
Application of the model is illustrated through the example of a residential
real estate database, where users’ preferences are captured by conjunctive
decision rules. This example demonstrates how the new model can be utilized
for quantifying the aggregate damage that errors in different database
attributes inflict on property selection decisions. Finally, this paper
reports on an initial empirical validation of the proposed model through
a series of Monte Carlo simulations. Numerical estimates of the model that
have been developed through this inquiry can be useful for data and information
quality assessments or policy-making purposes. Mainly, they can be integrated
into cost-benefit analyses that assess alternative data accuracy enhancements
or process and system designs.</font>
<br>
<br><font size=2 face="Calibri">To obtain a copy of the entire article,
click on the link below.</font>
<br><a href="http://www.igi-global.com/article/model-error-propagation-conjunctive-decisions/62034"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/article/model-error-propagation-conjunctive-decisions/62034</u></font></a>
<br>
<br><font size=2 face="Calibri">To read a PDF sample of this article, click
on the link below.</font>
<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=62034"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/viewtitlesample.aspx?id=62034</u></font></a><font size=2 face="Times New Roman">
</font>
<br>
<br><font size=2 face="Calibri">*****************************************************</font>
<br><font size=2 face="Calibri">For full copies of the above articles,
check for this issue of the <b>Journal of Database Management (JDM)</b>
in your institution's library. This journal is also included in the IGI
Global aggregated "<b>InfoSci-Journals</b>" database: </font><a href="http://www.igi-global.com/eresources/infosci-journals.aspx"><font size=2 color=blue face="Calibri"><u>http://www.igi-global.com/eresources/infosci-journals.aspx</u></font></a><font size=2 face="Times New Roman">.</font>
<br><font size=2 face="Calibri">*****************************************************</font>
<br>
<br><font size=2 face="Calibri"><b>CALL FOR PAPERS</b></font>
<br>
<br><font size=2 face="Calibri">Mission of JDM:</font>
<br>
<br><font size=2 face="Times New Roman">The <b>Journal of Database Management
(JDM)</b> publishes original research on all aspects of database management,
systems analysis and design, and software engineering. The primary mission
of JDM is to be instrumental in the improvement and development of theory
and practice related to information technology and management of information
resources. The journal is targeted at both academic researchers and practicing
IT professionals.</font>
<br>
<br><font size=2 face="Times New Roman">Coverage of </font><font size=2 face="Calibri">JDM</font><font size=2 face="Times New Roman">:</font>
<br>
<br><font size=2 face="Calibri">The <b>Journal of Database Management (JDM)</b>
publishes three types of rigorous and high quality articles: research articles,
research notes, and research reviews. Research articles are full innovative
findings that make substantial theoretical and empirical contributions
to knowledge in the field by using various theoretical and methodological
approaches. Research notes are novel and complete but not as comprehensive
as full research articles; they include exploratory studies and methodological
articles. Research reviews are insightful and carefully crafted articles
that conceptualize research areas, synthesize previous innovative findings,
advance the understanding of the field, and identify and develop future
research directions. Authors are welcome to submit manuscripts that qualify
for any of the three categories.</font>
<br>
<br><font size=2 face="Calibri">Topics of interest to the journal include,
but are not limited to, the following areas:</font>
<br>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Agile
systems development</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Bio-informatics</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Cognitive
modeling</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Component
engineering</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Conceptual
modeling</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Data
quality</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Data
warehousing and data mining</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Database
for advanced applications</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Database
management and administration</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Database
models and query languages</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Database
security and integrity</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Design
science</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Domain-driven
development</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">E-business
and m-commerce models and architectures</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Empirical
software engineering</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Enterprise
systems and supply chain integration</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Extreme
modeling and extreme programming</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Geographical
information systems</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Human-computer
interaction</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Heterogeneous
and distributed database</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Information
and knowledge modeling</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Intelligent
agents and agent-based applications</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Knowledge
engineering and management</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Method
engineering and metamodeling</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Object
oriented methods and methodologies</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Requirements
engineering</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Service
oriented architecture/service oriented computing</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Semantic
Web and ontology</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Software
engineering</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">System
analysis and design</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Unified
modeling language and unified process</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Virtual
team and Web 2.0</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Web
database and Web-based information systems</font>
<br><font size=2 face="Symbol">· </font><font size=2 face="Calibri">Web
design methods and methodologies </font>
<br>
<br><font size=2 face="Calibri">Interested authors should consult the journal's
manuscript submission guidelines </font><a href="http://www.igi-global.com/jdm"><font size=2 color=blue face="Calibri"><u>www.igi-global.com/jdm</u></font></a><font size=2 face="Times New Roman">.</font>
<br>
<br><font size=2 face="Calibri">All inquiries and submissions should be
sent to:</font>
<br><font size=2 face="Calibri">Editor-in-Chief: Keng Siau at </font><a href=mailto:jdm@unlnotes.unl.edu><font size=2 color=blue face="Calibri"><u>jdm@unlnotes.unl.edu</u></font></a>