[AISWorld] Journal of Database Management (JDM) -- Vol. 23, No. 1, Jan-Mar 2012

Tue Jan 31 19:38:53 EST 2012

Journal of Database Management (JDM)
Official Publication of the Information Resources Management Association
Volume 23, Issue 1, January-March 2012
Published: Quarterly in Print and Electronically
ISSN: 1063-8016 EISSN: 1533-8010
Published by IGI Publishing, Hershey-New York, USA
www.igi-global.com/jdm

Editor-in-Chief: Keng Siau, University of Nebraska - Lincoln, USA

PAPER ONE

Knowledge Representation: A Conceptual Modeling Approach

Cecil Eng Huang Chua, University of Auckland, New Zealand
Veda C. Storey, Georgia State University, USA
Roger H. L. Chiang, University of Cincinnati, USA

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.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/knowledge-representation-conceptual-modeling-approach/62030

To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=62030

PAPER TWO

Situational Method Engineering to Support Process-Oriented Information 
Logistics: Identification of Development Situations

Tobias Bucher, PHOENIX Group, Germany
Barbara Dinter, University of St. Gallen, Switzerland

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.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/situational-method-engineering-support-process/62031

To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=62031

PAPER THREE

An Interpreter Approach for Exporting Relational Data into XML Documents 
with Structured Export Markup Language

Joseph Fong, City University of Hong Kong, Hong Kong
Herbert Shiu, City University of Hong Kong, Hong Kong

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.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/interpreter-approach-exporting-relational-data/62032

To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=62032

PAPER FOUR

A Unified Fuzzy Data Model: Representation and Processing

Avichai Meged, Bar-Ilan University, Israel
Roy Gelbard, Bar-Ilan University, Israel

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.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/unified-fuzzy-data-model/62033

To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=62033

PAPER FIVE

A Model of Error Propagation in Conjunctive Decisions and its Application 
to Database Quality Management

Irit Askira Gelman, DQIQ, USA

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.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/article/model-error-propagation-conjunctive-decisions/62034

To read a PDF sample of this article, click on the link below.
http://www.igi-global.com/viewtitlesample.aspx?id=62034 

*****************************************************
For full copies of the above articles, check for this issue of the Journal 
of Database Management (JDM) in your institution's library. This journal 
is also included in the IGI Global aggregated "InfoSci-Journals" database: 
http://www.igi-global.com/eresources/infosci-journals.aspx.
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CALL FOR PAPERS

Mission of JDM:

The Journal of Database Management (JDM) 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.

Coverage of JDM:

The Journal of Database Management (JDM) 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.

Topics of interest to the journal include, but are not limited to, the 
following areas:

·       Agile systems development
·       Bio-informatics
·       Cognitive modeling
·       Component engineering
·       Conceptual modeling
·       Data quality
·       Data warehousing and data mining
·       Database for advanced applications
·       Database management and administration
·       Database models and query languages
·       Database security and integrity
·       Design science
·       Domain-driven development
·       E-business and m-commerce models and architectures
·       Empirical software engineering
·       Enterprise systems and supply chain integration
·       Extreme modeling and extreme programming
·       Geographical information systems
·       Human-computer interaction
·       Heterogeneous and distributed database
·       Information and knowledge modeling
·       Intelligent agents and agent-based applications
·       Knowledge engineering and management
·       Method engineering and metamodeling
·       Object oriented methods and methodologies
·       Requirements engineering
·       Service oriented architecture/service oriented computing
·       Semantic Web and ontology
·       Software engineering
·       System analysis and design
·       Unified modeling language and unified process
·       Virtual team and Web 2.0
·       Web database and Web-based information systems
·       Web design methods and methodologies 

Interested authors should consult the journal's manuscript submission 
guidelines www.igi-global.com/jdm.

All inquiries and submissions should be sent to:
Editor-in-Chief: Keng Siau at jdm at unlnotes.unl.edu
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