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.

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.

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 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 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.

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.

This book reviews the state-of-the-art and state-of-the-practice of modeling methods and methodologies in information systems development. The book has sections on foundations of information modeling, extended object-oriented modeling and Web information systems modeling. Information Modeling in the New Millennium addresses the gap between technical and business-oriented modeling approaches by providing an integrative view of modeling different of facets of ICT and organizations.

Information Modeling and Relational Databases, Third Edition, provides an introduction to ORM (Object-Role Modeling) and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Dr. Terry Halpin and Dr. Tony Morgan, pioneers in the development of ORM, blend conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. The all-new Third Edition includes coverage of advances and improvements in ORM and UML, nominalization, relational mapping, SQL, XML, data interchange, NoSQL databases, ontological modeling, and post-relational databases. Supported by examples, exercises, and useful background information, the authors' step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. "This book is an excellent introduction to both information modeling in ORM and relational databases. The book is very clearly written in a step-by-step manner and contains an abundance of well-chosen examples illuminating practice and theory in information modeling. I strongly recommend this book to anyone interested in conceptual modeling and databases." — Dr. Herman Balsters, Director of the Faculty of Industrial Engineering, University of Groningen, The Netherlands - Presents the most in-depth coverage of object-role modeling, including a thorough update of the book for the latest versions of ORM, ER, UML, OWL, and BPMN modeling. - Includes clear coverage of relational database concepts as well as the latest developments in SQL, XML, information modeling, data exchange, and schema transformation. - Case studies and a large number of class-tested exercises are provided for many topics. - Includes all-new chapters on data file formats and NoSQL databases.

Edited by prominent researchers and with contributions from experts in their individual areas, Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations explores a new philosophy of engineering. An in-depth introduction to Intelligent Energy Field Manufacturing (EFM), this book explores a fresh engineering methodology that not only integrates but goes beyond methodologies such as Design for Six Sigma, Lean Manufacturing, Concurrent Engineering, TRIZ, green and sustainable manufacturing, and more. This book gives a systematic introduction to classic non-mechanical manufacturing processes as well as offering big pictures of some technical frontiers in modern engineering. The book suggests that any manufacturing process is actually a process of injecting human intelligence into the interaction between material and the various energy fields in order to transfer the material into desired configurations. It discusses technological innovation, dynamic M-PIE flows, the generalities of energy fields, logic functional materials and intelligence, the open scheme of intelligent EFM implementation, and the principles of intelligent EFM. The book takes a highly interdisciplinary approach that includes research frontiers such as micro/nano fabrication, high strain rate processes, laser shock forming, materials science and engineering, bioengineering, etc., in addition to a detailed treatment of the so called "non-traditional" manufacturing processes, which covers waterjet machining, laser material processing, ultrasonic material processing, EDM/ECM, etc. Filled with illustrative pictures, figures, and tables that make technical materials more absorbable, the book cuts across multiple engineering disciplines. The majority of books in this area report the facts of proven knowledge, while the behind-the-scenes thinking is usually neglected. This book examines the big picture of manufacturing in depth before diving into the deta

This volume in the Advances in Management Information Systems series presents the very latest, state-of-the art research in the field. The editors and contributors are well-known researchers in this area. The book focuses on the personal and socio-technical aspects of SA&D. Chapters are grouped into three categories: people and social systems, socio technical processes, and project teams. Topics include: --Designing context-aware business processes --Staffing web-enabled e-commerce projects and programs --Modeling techniques in IS development project teams.