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Using a Common-Sense Realistic Ontology: Making Data Models Better Map the World

Copyright © 2005. 31 pages.
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DOI: 10.4018/978-1-59140-339-5.ch008
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MLA

Kazmierczak, Ed and Simon Milton. "Using a Common-Sense Realistic Ontology: Making Data Models Better Map the World." Business Systems Analysis with Ontologies. IGI Global, 2005. 218-248. Web. 31 Oct. 2014. doi:10.4018/978-1-59140-339-5.ch008

APA

Kazmierczak, E., & Milton, S. (2005). Using a Common-Sense Realistic Ontology: Making Data Models Better Map the World. In P. Green, & M. Rosemann (Eds.) Business Systems Analysis with Ontologies (pp. 218-248). Hershey, PA: Idea Group Publishing. doi:10.4018/978-1-59140-339-5.ch008

Chicago

Kazmierczak, Ed and Simon Milton. "Using a Common-Sense Realistic Ontology: Making Data Models Better Map the World." In Business Systems Analysis with Ontologies, ed. Peter F. Green and Michael Rosemann, 218-248 (2005), accessed October 31, 2014. doi:10.4018/978-1-59140-339-5.ch008

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Abstract

This chapter examines the following question: “How well do data models map the world?” Data modelling languages are used in today’s information systems engineering environments to model reality. Many have a degree of hype surrounding their quality and applicability with narrow and specific justification often given in support of one over another. We want to more deeply understand the fundamental nature of data modelling languages. We thus propose a theory, based on ontology, that should allow us to understand, compare, evaluate, and strengthen data modelling languages. We then introduce Chisholm’s ontology and apply methods to analyse some data modelling languages using it. We find a good degree of overlap between all of the data modelling languages analysed and the core concepts of Chisholm’s ontology, and conclude that the data modelling languages investigated reflect an ontology of commonsense-realism. Critical common-sense realism more generally due to its perspectival nature and its implicit recognition of institutional and social reality has the potential to dramatically improve our ability to better map the world.
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Complete Chapter List

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Chapter 1
Peter Green, Michael Rosemann
For many years in the area of business systems analysis and design, practitioners and researchers alike have been searching for some comprehensive... Sample PDF
Ontological Analysis of Business Systems Analysis Techniques: Experiences and Proposals for an Enhanced Methodology
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Chapter 2
Graeme Shanks, Jasmina Nuredini, Ron Weber
This chapter examines how ontological theory can be used to predict how alternative conceptual modelling representations affect end-user... Sample PDF
Evaluating Conceptual Modeling Practices: Composites, Things, Properties
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Chapter 3
Peter Fettke, Peter Loos
Within the information systems field, reference models have been known for many years. A reference model is a conceptual framework and may be used... Sample PDF
Ontological Analysis of Reference Models
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Chapter 4
Jörg Evermann
Information systems (IS) are situated in and representations of business and organizational domains. Conceptual models of the real world serve as... Sample PDF
Thinking Ontologically: Conceptual vs. Design Models in UML
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Chapter 5
Andreas Opdahl, Brian Henderson-Sellers
The chapter reviews and augments a previously proposed template for defining enterprise and information systems (IS) modelling constructs. The... Sample PDF
Template-Based Definition of Information Systems and Enterprise Modelling Constructs
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Chapter 6
Iris Reinhartz-Berger, Dov Dori
In this chapter, we introduce a highly expressive, self-contained reflective meta-model of object-process methodology (OPM). OPM enables universal... Sample PDF
A Reflective Meta-Model of Object-Process Methodology: The System Modeling Building Blocks
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Chapter 7
Roland Holten, Alexander Dreiling, Jörg Becker
Information systems development has to deal with evolving technologies and changing environments. Therefore, the engineering of methods as the... Sample PDF
Ontology-Driven Method Engineering for Information Systems Development
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Chapter 8
Ed Kazmierczak, Simon Milton
This chapter examines the following question: “How well do data models map the world?” Data modelling languages are used in today’s information... Sample PDF
Using a Common-Sense Realistic Ontology: Making Data Models Better Map the World
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Chapter 9
Asunción Gomez-Perez, Adolfo Lozano-Tello
In the last years, the development of ontology-based applications has increased considerably, mainly related to the Semantic Web. Users currently... Sample PDF
Applying the ONTOMETRIC Method to Measure the Suitability of Ontologies
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Chapter 10
Benoit A. Aubert, Aymeric Dussart, Michel Patry
This chapter presents a twofold methodology for the evaluation of inter-organizational workflows modeling formalisms. The first approach is... Sample PDF
A Twofold Approach for Evaluating Inter-Organizational Workflow Modeling Formalisms
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Chapter 11
Andrew Gemino
This chapter examines methodological issues arising in the comparison of systems analysis and design techniques. An argument is made to establish a... Sample PDF
Methodological Issues in the Evaluation of System Analysis and Design Techniques
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Chapter 12
Boris Wyssusek, Helmut Klaus
Ontology has attracted considerable attention in information systems analysis and design (ISAD) research. Ontology is philosophy and bears its own... Sample PDF
Ontological Foundations of Information Systems Analysis and Design: Extending the Scope of the Discussion
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Chapter 13
Giancarlo Guizzardi, Gerd Wagner
Foundational ontologies provide the basic concepts upon which any domain-specific ontology is built. This chapter presents a new foundational... Sample PDF
Some Applications of a Unified Foundational Ontology in Business Modeling
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