Analyzing and Comparing Ontologism with Meta-Models

Author(s):  
Islay Davies ◽  
Peter Green ◽  
Simon Milton ◽  
Michael Rosemann

High-level ontologies provide a model of reality and are of increasing popularity for the evaluation of modeling methods. Most of the common modeling methods have been studied using ontologies such as the BWW representation model and Chisholm’s ontology. However, at this stage only limited guidance is provided for the selection and evaluation of the appropriate ontology. The aim of this chapter is to propose meta-models for analyzing, comparing, and engineering ontologies. It discusses a methodology using extracts of meta-models for two well-known ontologies that had been used previously in Systems Analysis and Design research. The approach provides a theoretical analysis technique for evaluating these ontologies according to their equivalence, depth of structure, and comprehensiveness of scope.

Author(s):  
Ram B. Misra ◽  
Doncho Petkov ◽  
Olga Petkova

In this chapter, the authors analyze recent developments linking design science to systems analysis and design research and the growing area of the work system method proposed by Steven Alter. As a result, possible directions in a research agenda related to the incorporation of work system method ideas in systems analysis and design are provided. These follow the conceptual framework for IS research developed in 2004 by Hevner, March, Park and Ram.


Author(s):  
Przemyslaw Polak

Nowadays, there are two main information systems modeling methods: structured and object-oriented. The structured methods have been widely used since the 1970s, whereas recently the object-oriented methods have attracted more attention. This chapter analyses the methods that are taught on the courses of information systems analysis and design. The curricula of information systems and computer science studies in Polish higher education institutions are compared to the Association for Computing Machinery curricula recommendations. In both cases none of the methods is prevailing. Also, the program of introducing, at the Warsaw School of Economics, Poland, all management and business administration students to the basics of systems analysis and design is presented. Thus, students majoring in information systems learn both modeling methods, whereas only structured methods are introduced to all management students.


Author(s):  
Andrew Gemino

This chapter examines methodological issues arising in the comparison of systems analysis and design techniques. An argument is made to establish a foundation of research and more broadly consider the management of scope in analysis and design research. A discussion of why and how we evaluate techniques is provided. A generalized approach combining both deductive and inductive reasoning is presented and a combined grammar-based and cognitive-based approach to comparison is discussed. In addition, concepts from Friedman’s economic methodology are applied in the choice between alternative ontologies that underlie grammar-based comparisons. The chapter concludes with a set of nine questions that researchers should consider when designing and developing research in the evaluation of systems analysis and design techniques.


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