Information Modeling Methods and Methodologies
Information Modeling Methods and Methodologies

Author: John Krogstie

Publisher: IGI Global

Published: 2005-01-01

Total Pages: 94

ISBN-13: 9781591403753

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The purpose of this book is to disseminate the research results and best practice from researchers and practitioners interested in and working on modeling methods and methodologies. Though the need for such studies is well recognized, there is a paucity of such research in the literature. What specifically distinguishes this book is that it looks at various research domains and areas such as enterprise, process, goal, object-orientation, data, requirements, ontology, and component modeling, to provide an overview of existing approaches and best practices in these conceptually closely-related fields. *Note: This book is part of a series entitled "Advanced Topics in Database Research.

Information Modeling of Organizations
Information Modeling of Organizations

Author: Vaclav Repa

Publisher: Tomáš Bruckner

Published: 2012-10

Total Pages: 112

ISBN-13: 8090466133

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This book is about the information modeling of organizations in the widest sense possible. This term express the general meaning of the term "organizational modeling" with the light flavor of informatics practices rather than just the IS or IT view of the organization. Although the topic of the cognition of organizational structure and behavior traditionally belongs to the management theory; informatics brings to this area the necessary exactness in the shape of formal specifications and a systemic style of thinking. Informatics is a source of sophisticated techniques and tools, aimed on discovering the general regularities of the organizational structure and behavior (often called "business rules") with the ability to abstract all non-contentual aspects of the organizational system. Information technology, on the other hand, is a key enabler of organizational changes as it is established in all literature mentioning the theory of business reengineering. Consequently, the well designed Information System must be a clear picture of all substantial aspects of the organization (both the structural and the behavioral ones). Information modeling aims to create the view of the organization which is, on the one hand independent of any non-contentual aspect (including the information technology at first); on the other it is fully consistent with following the process of the development of the Information System (i.e., the infrastructure in general). The book introduces the methodology for modeling the business system based on two complementary views which covers both ontology and business process model of the organization using standard languages UML and BPMN and including tools for ensuring the consistency of both models. The book also outlines the original methodology for service-oriented building of the process managed organization and discusses the problem of the process-oriented management in the field of public administration.

Optimal Information Modeling Techniques
Optimal Information Modeling Techniques

Author: Slooten, Kees van

Publisher: IGI Global

Published: 2001-07-01

Total Pages: 297

ISBN-13: 1931777306

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Information modeling techniques are used during information systems analysis and design, and are important kinds of techniques, that are part of information systems development methodologies. An optimal information modeling technique may be defined as an information modeling technique that is most appropriate to be applied in a specific situation indicated by certain contingency factors. Optimal Information Modeling Techniques examines these methods and provides the most recent research in the field, to be applied to the management applications of modern organizations.

Information Modelling and Knowledge Bases III
Information Modelling and Knowledge Bases III

Author: Setsuo Ohsuga

Publisher: IOS Press

Published: 1992

Total Pages: 726

ISBN-13: 9789051990737

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Papers direct the focus of interest to the development and use of conceptual models in information systems of various kinds and aim at improving awareness about general or specific problems and solutions in conceptual modelling.

Information Systems Development and Data Modeling
Information Systems Development and Data Modeling

Author: Rudy Hirschheim

Publisher: Cambridge University Press

Published: 1995-10-27

Total Pages: 305

ISBN-13: 131658240X

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Information systems development is not merely a technical intervention but involves social and ethical dilemmas that affect the human, social and organizational domains. To demonstrate this point, the authors conduct a thorough and substantive description and analysis of the conceptual and philosophical underpinnings of systems development. In particular they analyse a number of systems development methodologies including structured methods, prototyping, ETHICS and Soft Systems Methodology to reveal the underlying conceptual and philosophical foundations. The book provides an in-depth analysis of data modelling theory and its links with theories of language and cognition. It offers a framework to describe and analyse different systems development approaches and to explain their strengths and weaknesses. The book is aimed at graduate students taking courses in information systems and data modelling, but will also appeal to information systems managers and professionals for whom the summary of methodologies will be useful.

Method, Model and Matter
Method, Model and Matter

Author: M. Bunge

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 202

ISBN-13: 9401025193

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This collection of essays deals with three clusters of problems in the philo sophy of science: scientific method, conceptual models, and ontological underpinnings. The disjointedness of topics is more apparent than real, since the whole book is concerned with the scientific knowledge of fact. Now, the aim of factual knowledge is the conceptual grasping of being, and this understanding is provided by theories of whatever there may be. If the theories are testable and specific, such as a theory of a particular chemical reaction, then they are often called 'theoretical models' and clas sed as scientific. If the theories are extremely general, like a theory of syn thesis and dissociation without any reference to a particular kind of stuff, then they may be called 'metaphysical' - as well as 'scientific' if they are consonant with science. Between these two extremes there is a whole gamut of kinds of factual theories. Thus the entire spectrum should be dominated by the scientific method, quite irrespective of the subject matter. This is the leitmotiv of the present book. The introductory chapter, on method in the philosophy of science, tackles the question 'Why don't scientists listen to their philosophers?'.

Modeling with Data
Modeling with Data

Author: Ben Klemens

Publisher: Princeton University Press

Published: 2008-10-06

Total Pages: 471

ISBN-13: 1400828740

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Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date. Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.

SPS2020
SPS2020

Author: K. Säfsten

Publisher: IOS Press

Published: 2020-12-24

Total Pages: 706

ISBN-13: 1643681478

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Knowledge-intensive product realization implies embedded intelligence; meaning that if both theoretical and practical knowledge and understanding of a subject is integrated into the design and production processes of products, this will significantly increase added value. This book presents papers accepted for the 9th Swedish Production Symposium (SPS2020), hosted by the School of Engineering, Jönköping University, Sweden, and held online on 7 & 8 October 2020 because of restrictions due to the Corona virus pandemic. The subtitle of the conference was Knowledge Intensive Product Realization in Co-Operation for Future Sustainable Competitiveness. The book contains the 57 papers accepted for presentation at the conference, and these are divided into nine sections which reflect the topics covered: resource efficient production; flexible production; virtual production development; humans in production systems; circular production systems and maintenance; integrated product and production development; advanced and optimized components, materials and manufacturing; digitalization for smart products and services; and responsive and efficient operations and supply chains. In addition, the book presents five special sessions from the symposium: development of changeable and reconfigurable production systems; smart production system design and development; supply chain relocation; management of manufacturing digitalization; and additive manufacturing in the production system. The book will be of interest to all those working in the field of knowledge-intensive product realization.

Enterprise Integration Modeling
Enterprise Integration Modeling

Author: Charles J. Petrie

Publisher: MIT Press

Published: 1992

Total Pages: 588

ISBN-13: 9780262660808

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The goal of enterprise integration is the development of computer-based tools that facilitate coordination of work and information flow across organizational boundaries. These proceedings, the first on EI modeling technologies, provide a synthesis of the technical issues involved; describe the various approaches and where they overlap, complement, or conflict with each other; and identify problems and gaps in the current technologies that point to new research.The leading edge of a movement that began with computer-aided design/computer-aided manufacturing (CAD/CAM), EI now seeks to engage the development of computer-based tools to control not only manufacturing but the allied areas of materials supply, accounting, and inventory control. EI technology is pushing forward research in areas such as distributed AI, concurrent engineering, task coordination, human-computer interaction, and distributed planning and scheduling. These proceedings provide the first common technical ground for comparing, evaluating, or coordinating these efforts.Charles J. Petrie, Jr., is Senior Member of Technical Staff at MCC in Austin, Texas.Topics include: Computer Integrated Manufacturing. Open System Architecture Standards. The results of five workshops on EI modeling topics: Model Integration, Model/Application Namespace, Heterogeneous Execution Environments, Metrics and Methodologies, and Coordination Process Models.