[AISWorld] Abstract Announcement for Journal of Database Management (JDM) 28(2), 2017

[Siau, Keng L.]

Abstract Announcement for Journal of Database Management (JDM) 28(2)
The contents of the latest issue of:
Journal of Database Management (JDM)
Volume 28, Issue 2, April - June 2017
Indexed by: Compendex (Elsevier Engineering Index), INSPEC, SCOPUS, Web of Science Science Citation Index Expanded (SCIE)
Published: Quarterly in Print and Electronically
ISSN: 1063-8016; EISSN: 1533-8010;
Published by IGI Global Publishing, Hershey, USA
www.igi-global.com/jdm<http://www.igi-global.com/journal/journal-database-management/1072>

Editor-in-Chief: Keng Siau (Missouri University of Science and Technology, USA)
Note: The Journal of Database Management (JDM) has an Open Access option, which allows individuals and institutions unrestricted access to its published content. Unlike traditional subscription-based publishing models, open access content is available without having to purchase or subscribe to the journal in which the content is published. All IGI Global manuscripts are accepted based on a double-blind peer review editorial process.

EDITORIAL PREFACE

Special Issue on Ontological Analysis in Conceptual Modeling, Part 2

Andrew Burton-Jones (University of Queensland, Brisbane, Australia)

Peter Green (Queensland University of Technology, Brisbane, Australia)

Jeffrey Parsons (Memorial University of Newfoundland, St. John's, Canada)

Keng Siau (Department of Business & Information Technology, Missouri University of Science and Technology, Rolla, MO, USA)

To obtain a copy of the Editorial Preface, click on the link below.
www.igi-global.com/pdf.aspx?tid=182866&ptid=158185&ctid=15&t=Special Issue on Ontological Analysis in Conceptual Modeling, Part 2<http://www.igi-global.com/pdf.aspx?tid=182866&ptid=158185&ctid=15&t=Special%20Issue%20on%20Ontological%20Analysis%20in%20Conceptual%20Modeling,%20Part%202>

ARTICLE 1

Evaluation of the Ontological Completeness and Clarity of Object-Oriented Conceptual Modelling Grammars

Prabodha Tilakaratna (Faculty of Information Technology, Monash University, Malaysia)

Jayantha Rajapakse (Faculty of Information Technology, Monash University, Melbourne, Australia)

Several research studies have concluded that modelling grammars that support the Object-Oriented (OO) methodology focus more on modelling system design and implementation phenomena than real-world phenomena in IS users' domains. Thus, the purpose of this research study was to evaluate the suitability of OO modelling grammars for conceptual modelling. Although the research work focused on one widely used OO modelling grammar-namely, the Unified Modelling Language (UML)-the approach developed can be applied to any OO modelling grammar. The first phase of this research study focused on evaluating all UML constructs and identifying a subset of UML constructs that are capable of representing real-world phenomena in user domains. The second phase was an empirical evaluation of the identified subset of UML constructs. The results of this empirical evaluation suggest that instead of using all UML constructs the subset of UML constructs is better suited for conceptual modelling.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/evaluation-of-the-ontological-completeness-and-clarity-of-object-oriented-conceptual-modelling-grammars/182867<http://www.igi-global.com/article/evaluation-of-the-ontological-completeness-and-clarity-of-object-oriented-conceptual-modelling-grammars/182867>

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=182867<http://www.igi-global.com/viewtitlesample.aspx?id=182867>

ARTICLE 2

Effects of Domain Familiarity on Conceptual Modeling Performance

Jihae Suh (Seoul National University, Seoul, South Korea)

Jinsoo Park (Business School, Seoul National University, Seoul, South Korea)

Conceptual modeling is currently considered a significant phase in information systems development. Several modeling grammars and methods have been studied extensively in the information systems discipline. However, previous research on conceptual models has focused on certain grammar (syntax) or discovering a way to deliver the meaning of a model (semantic) more clearly and completely. With regard to the construct overload issue in conceptual modeling, past studies have had some deficiencies in research methods and even presented contradicting results. The objective of the present study is twofold. First, the authors researched the interaction effect among syntax, semantics, and pragmatics to discover the preferred design, context, and user knowledge with which models are more likely to be understood or interpreted. Second, they performed an experiment to reconcile conflicting outcomes and acquire a more complete and accurate understanding of construct overload. Specifically, the authors focused on understanding the end users' modeling performance between ontologically clear and unclear models. They applied an improved experimental methodology that integrates three features (i.e., syntax, semantic, pragmatic) rather than treat them individually and employs different degrees of domain familiarity in the conceptual model (i.e., familiar domain vs. unfamiliar domain). The result of this study will broaden the perspective on usability in the context of the conceptual model and may serve as a modeler's ontological guidance in terms of whether or not to contain construct overload when they create a model. In addition, this study makes the theoretical contribution by verifying the domain extensibility towards the theory of ontological clarity.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/effects-of-domain-familiarity-on-conceptual-modeling-performance/182868<http://www.igi-global.com/article/effects-of-domain-familiarity-on-conceptual-modeling-performance/182868>

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=182868<http://www.igi-global.com/viewtitlesample.aspx?id=182868>

ARTICLE 3

Combined Use of Conceptual Models in Practice: An Exploratory Study

Mohammad Ali Jabbari Sabegh (School of Management, Queensland University of Technology, Brisbane, Australia)

Jan Recker (School of Management, Queensland University of Technology, Brisbane, Australia)

Conceptual models are fundamental to system analysis and design. However, the actual usage of conceptual models remains poorly understood, in particular, how and why practitioners would use multiple models in combination when doing their work. In this paper, the authors explore the reported use of multiple conceptual models for system analysis and design to determine the circumstances that lead professionals to use multiple models. They uncover both semantic and pragmatic reasons that influence the choice and selection of different models for system analysis and design tasks. Contrasting these findings to existing ontological theories, the authors find that the extent and type of multiple model use is determined by not only ontological factors but also contextual factors that can override ontological qualities and in so doing bring forth desired qualities for users. The authors offer several novel propositions about the implications of ontological theory that will be worth exploring in future research.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/combined-use-of-conceptual-models-in-practice/182869<http://www.igi-global.com/article/combined-use-of-conceptual-models-in-practice/182869>

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=182869<http://www.igi-global.com/viewtitlesample.aspx?id=182869>

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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: www.igi-global.com/isj<http://www.igi-global.com/e-resources/infosci-databases/infosci-journals/>.
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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.

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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

  *   Artificial Intelligence

  *   Bio-informatics

  *   Cognitive modeling

  *   Component engineering

  *   Conceptual modeling

  *   Cyber security

  *   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

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 *   Human-computer interaction

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  *   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/calls-for-papers/journal-database-management/1072<http://www.igi-global.com/calls-for-papers/journal-database-management/1072>