Modelling information manufacturing systems

The manufacture of an information product (IP) is akin to the manufacture of a physical product. Current approaches to model such information manufacturing systems (IMS), lack the ability to systematically represent the dynamic changes involved in manufacturing (or creating) an IP. They also have limitations to consistently include aspects of process and information management at an organisational level. This paper aims to address these limitations and presents a modelling approach, the IASDO model. Our work also represents a framework to evaluate the quality of the meta-models for IMS modelling which enable us to compare the IASDO model with current approaches.

[1]  Markus Helfert,et al.  The IASDO Model for Information Manufacturing Systems Modeling , 2006, ICIQ.

[2]  John Krogstie,et al.  Defining quality aspects for conceptual models , 1995, ISCO.

[3]  Peter Bernus,et al.  Handbook on Architectures of Information Systems , 1999 .

[4]  Richard Y. Wang,et al.  Data Quality Assessment , 2002 .

[5]  Qing Li,et al.  Data Flow Diagram , 2009 .

[6]  Joe Celko Alternatives to flowcharts: I. Data flow diagrams , 1987 .

[7]  Richard Y. Wang,et al.  IP-MAP: Representing the Manufacture of an Information Product , 2000, IQ.

[8]  Monique Snoeck,et al.  Existence Dependency: The Key to Semantic Integrity Between Structural and Behavioral Aspects of Object Types , 1998, IEEE Trans. Software Eng..

[9]  Richard Y. Wang,et al.  Modeling Information Manufacturing Systems to Determine Information Product Quality Management Scien , 1998 .

[10]  Martin J. Eppler,et al.  Information Quality - organizational, technological, and legal perspectives , 2004 .

[11]  Graeme G. Shanks,et al.  What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models , 1994, ER.

[12]  Reinhard Schütte,et al.  The Guidelines of Modeling - An Approach to Enhance the Quality in Information Models , 1998, ER.

[13]  Daniel L. Moody,et al.  Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions , 2005, Data Knowl. Eng..

[14]  Evan W. Duggan,et al.  The panorama of information systems quality , 2006 .

[15]  Arne Sølvberg,et al.  Understanding quality in conceptual modeling , 1994, IEEE Software.

[16]  Michel Léonard,et al.  If We Refuse the Inheritance , 1999, DEXA.