[AISWorld] Journal of Database Management (JDM) Special Issues on Ontological Analysis in Conceptual Modeling, 28 (1&2), 2017

Thu Jul 6 02:17:15 EDT 2017

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<http://www.igi-global.com/jdm%3chttp:/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<http://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<http://www.igi-global.com/article/thirty-years-later/181666%3chttp:/www.igi-global.com/article/thirty-years-later/181666>>

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www.igi-global.com/viewtitlesample.aspx?id=181666<http://www.igi-global.com/viewtitlesample.aspx?id=181666<http://www.igi-global.com/viewtitlesample.aspx?id=181666%3chttp://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<http://www.igi-global.com/article/conceptual-modeling-meets-domain-ontology-development/181667%3chttp:/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<http://www.igi-global.com/viewtitlesample.aspx?id=181667%3chttp://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<http://www.igi-global.com/article/framework-managing-complexity-information-systems/181668%3chttp:/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<http://www.igi-global.com/viewtitlesample.aspx?id=181668%3chttp://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<http://www.igi-global.com/article/improving-the-domain-independence-of-data-provenance-ontologies/181669%3chttp:/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<http://www.igi-global.com/viewtitlesample.aspx?id=181669%3chttp://www.igi-global.com/viewtitlesample.aspx?id=181669>>

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<http://www.igi-global.com/jdm%3chttp:/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<http://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<http://www.igi-global.com/article/evaluation-of-the-ontological-completeness-and-clarity-of-object-oriented-conceptual-modelling-grammars/182867%3chttp:/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<http://www.igi-global.com/viewtitlesample.aspx?id=182867%3chttp://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<http://www.igi-global.com/article/effects-of-domain-familiarity-on-conceptual-modeling-performance/182868%3chttp:/www.igi-global.com/article/effects-of-domain-familiarity-on-conceptual-modeling-performance/182868>>

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www.igi-global.com/viewtitlesample.aspx?id=182868<http://www.igi-global.com/viewtitlesample.aspx?id=182868<http://www.igi-global.com/viewtitlesample.aspx?id=182868%3chttp://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<http://www.igi-global.com/article/combined-use-of-conceptual-models-in-practice/182869%3chttp:/www.igi-global.com/article/combined-use-of-conceptual-models-in-practice/182869>>

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www.igi-global.com/viewtitlesample.aspx?id=182869<http://www.igi-global.com/viewtitlesample.aspx?id=182869<http://www.igi-global.com/viewtitlesample.aspx?id=182869%3chttp://www.igi-global.com/viewtitlesample.aspx?id=182869>>