Abstract Announcement for Journal of Database Management (JDM) 28(1)
The contents of the latest issue of:
Journal of Database Management (JDM)
Volume 28, Issue 1, January - March 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.

GUEST EDITORIAL PREFACE

Special Issue on Ontological Analysis in Conceptual Modeling, Part 1

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 Guest Editorial Preface, click on the link below.
www.igi-global.com/pdf.aspx?tid=181665&ptid=158184&ctid=15&t=Special Issue on Ontological Analysis in Conceptual Modeling, Part 1<http://www.igi-global.com/pdf.aspx?tid=181665&ptid=158184&ctid=15&t=Special%20Issue%20on%20Ontological%20Analysis%20in%20Conceptual%20Modeling,%20Part%201>

ARTICLE 1

Thirty Years Later: Some Reflections on Ontological Analysis in Conceptual Modeling

Yair Wand (Sauder School of Business, University of British Columbia, Vancouver, Canada)

Ron Weber (Faculty of Information Technology, Monash University, Melbourne, Australia & School of Business, University of Queensland, Brisbane, Australia)

The idea that ontological theories could be used to provide a theoretical basis for evaluating conceptual-modeling grammars and scripts was initiated some thirty years ago. The authors provide some brief history about the early research that discussed how ontological theories might be used to study conceptual-modeling grammars and scripts. They then give an overview of the progress that has been made using various elements of this early research. Next, they outline some of the major critiques that have been made of conceptual-modeling work that uses ontological foundations. Finally, the authors suggest some areas that they believe hold substantial promise in using ontology to better understand and predict conceptual-modeling phenomena.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/thirty-years-later/181666<http://www.igi-global.com/article/thirty-years-later/181666>

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=181666<http://www.igi-global.com/viewtitlesample.aspx?id=181666>

ARTICLE 2

Conceptual Modeling Meets Domain Ontology Development: A Reconciliation

Veda C. Storey (Department of Computer Information Systems, Robinson College of Business, Georgia State University, Atlanta, GA, USA)

Domain ontologies and conceptual models similarly capture and represent concepts from the real world for inclusion in an information system. This paper examines challenges of conceptual modeling and domain ontology development when mapping to high-level ontologies. The intent is to reconcile apparent differences and position some of the inherent challenges in these closely-coupled areas of research, while providing insights into recognizing and resolving modeling difficulties.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/conceptual-modeling-meets-domain-ontology-development/181667<http://www.igi-global.com/article/conceptual-modeling-meets-domain-ontology-development/181667>

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=181667<http://www.igi-global.com/viewtitlesample.aspx?id=181667>

ARTICLE 3

A Framework for Managing Complexity in Information Systems

Mala Kaul (Department of Accounting and Information Systems, College of Business, University of Nevada, Reno, NV, USA)

Veda C. Storey (Department of Computer Information Systems, Robinson College of Business, Georgia State University, Atlanta, GA, USA)

Carson Woo (Sauder School of Business, University of British Columbia, Vancouver, Canada)

A particularly difficult, but important, challenge in the design and development of contemporary information systems is dealing with complexity. Although complexity has been richly discussed from various perspectives in the literature, there is limited guidance on how to address complexity in information systems design. This research analyzes different approaches to handling complexity and finds that there exists a plurality of ways in which to address complexity that are dependent upon the given situation. This analysis results in the derivation of a framework for addressing complexity in information systems. The framework explicitly recognizes implications and limitations of decomposition, inner-outer environments, abstractions, and decentralization, and the role of Ontology. Application of the framework is intended to enable information researchers to identify and adapt applicable strategies for managing complexity in any domain.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/framework-managing-complexity-information-systems/181668<http://www.igi-global.com/article/framework-managing-complexity-information-systems/181668>

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=181668<http://www.igi-global.com/viewtitlesample.aspx?id=181668>

ARTICLE 4

Improving the Domain Independence of Data Provenance Ontologies: A Demonstration Using Conceptual Graphs and the W7 Model

Jun Liu (College of Business and Information Systems, Dakota State University, Madison, SD, USA)

Sudha Ram (Eller College of Management, University of Arizona, Tucson, AZ, USA)

Provenance is becoming increasingly important as more and more people are using data that they themselves did not generate. In the last decade, significant efforts have been directed toward developing generic, shared data provenance ontologies that support the interoperability of provenance across systems. An issue that is impeding the use of such provenance ontologies is that a generic provenance ontology, no matter how complete it is, is insufficient for capturing the diverse, complex provenance requirements in different domains. In this paper, the authors propose a novel approach to adapting and extending the W7 model, a well-known generic ontology of data provenance. Relying on various knowledge expansion mechanisms provided by the Conceptual Graph formalism, the authors' approach enables us to develop domain ontologies of provenance in a disciplined yet flexible way.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/improving-the-domain-independence-of-data-provenance-ontologies/181669<http://www.igi-global.com/article/improving-the-domain-independence-of-data-provenance-ontologies/181669>

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=181669<http://www.igi-global.com/viewtitlesample.aspx?id=181669>

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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.

Indices of JDM:

  *   ABI/Inform
  *   ACM Digital Library
  *   Aluminium Industry Abstracts
  *   Australian Business Deans Council (ABDC)
  *   Bacon's Media Directory
  *   Burrelle's Media Directory
  *   Cabell's Directories
  *   Ceramic Abstracts
  *   Compendex (Elsevier Engineering Index)
  *   Computer & Information Systems Abstracts
  *   Corrosion Abstracts
  *   CSA Civil Engineering Abstracts
  *   CSA Illumina
  *   CSA Mechanical & Transportation Engineering Abstracts
  *   Current Contents(r)/Engineering, Computing, & Technology
  *   DBLP
  *   DEST Register of Refereed Journals
  *   EBSCOhost's Business Source
  *   EBSCOhost's Computer & Applied Sciences Complete
  *   EBSCOhost's Computer Science Index
  *   EBSCOhost's Computer Source
  *   EBSCOhost's Current Abstracts
  *   EBSCOhost's Library/Information Science & Technology Abstracts with FullTEXT
  *   EBSCOhost's STM Abstracts
  *   Electronics & Communications Abstracts
  *   Emerald Abstracts
  *   Engineered Materials Abstracts
  *   Gale Directory of Publications & Broadcast Media
  *   GetCited
  *   Google Scholar
  *   INSPEC
  *   Internet & Personal Computing Abstracts
  *   ISBIB
  *   JournalTOCs
  *   Library & Information Science Abstracts (LISA)
  *   Library Literature & Information Sciences
  *   Materials Business File - Steels Alerts
  *   MediaFinder
  *   Norwegian Social Science Data Services (NSD)
  *   PubList.com
  *   SCOPUS
  *   Solid State & Superconductivity Abstracts
  *   The Index of Information Systems Journals
  *   The Standard Periodical Directory
  *   Ulrich's Periodicals Directory
  *   Web of Science
  *   Web of Science Science Citation Index Expanded (SCIE)

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
  *   Geographical information systems
  *   Human-computer interaction
  *   Heterogeneous and distributed database
  *   Information and knowledge modeling
  *   Intelligent agents and agent-based applications
  *   Knowledge engineering and management
  *   Machine learning
  *   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/calls-for-papers/journal-database-management/1072<http://www.igi-global.com/calls-for-papers/journal-database-management/1072>

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Betreff:	[AISWorld] Abstract Announcement for Journal of Database Management (JDM) 28(1), 2017
Datum:	Tue, 4 Jul 2017 06:00:58 +0000
Von:	Siau, Keng L. <siauk@mst.edu>
An:	aisworld@lists.aisnet.org <aisworld@lists.aisnet.org>