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We are pleased to present the proceedings of the workshops held in conjunction with ER 2005, the 24th International Conference on Conceptual Modeling. The objective of these workshops was to extend the spectrum of the main conferencebygivingparticipantsanopportunitytopresentanddiscussemerging hot topics related to conceptual modeling and to add new perspectives to this key mechanism for understanding and representing organizations, including the new “virtual” e-environments and the information systems that support them. To meet this objective, we selected 5 workshops: – AOIS 2005: 7th International Bi-conference Workshop on Agent-Oriented Information Systems – BP-UML 2005: 1st International Workshop on Best Practices of UML – CoMoGIS 2005: 2nd International Workshop on Conceptual Modeling for Geographic Information Systems – eCOMO 2005: 6th International Workshop on Conceptual Modeling - proaches for E-business – QoIS 2005: 1st International Workshop on Quality of Information Systems These 5 workshops attracted 18, 27, 31, 9, and 17 papers, respectively. F- lowing the ER workshopphilosophy, program committees selected contributions on the basis of strong peer reviews in order to maintain a high standard for accepted papers. The committees accepted 8, 9, 12, 4, and 7 papers, for acc- tance ratesof 44%,33%,39%,44%, and 41%,respectively. In total, 40 workshop papers were selected out of 102 submissions with a weighted averageacceptance rate of 40%.
When seeking to test specific hypotheses in large data sets, social and behavioral scientists often construct models. Although useful in such situations, many phenomena of interest do not occur in large samples and do not lend themselves to precise measurement. In addition, a focus on hypothesis testing can constrict the potential use of models as organizing devices for emerging patterns -- summaries of what we believe we know about the dynamics of situation. This book bridges the gap between "quantitative" and "qualitative" modelers to reconcile the need to impose rigor and to understand the influence of context. Although there are many different uses for models, there is also the realistic possibility of doing credible research without their use. A critical reexamination of the assumptions used in quantitatively-oriented models, however, suggests ways to increase their effectiveness as organizers of both quantitative and qualitative data. Students of methods in psychology, sociology, education, management, social work, and public health -- and their instructors -- are increasingly expected to become familiar with both quantitative and qualitative approaches. Unfortunately, they find few vehicles for communication regarding the implications of overlapping work between the two approaches. Using models as organizing devices for a better dialogue between assumptions and data might facilitate this communication process.
Bringing together an international group of researchers involved in military, business, and health modeling and simulation, Conceptual Modeling for Discrete-Event Simulation presents a comprehensive view of the current state of the art in the field. The book addresses a host of issues, including: What is a conceptual model?How is conceptual modelin
Conceptual change, how conceptual understanding is transformed, has been investigated extensively since the 1970s. The field has now grown into a multifaceted, interdisciplinary effort with strands of research in cognitive and developmental psychology, education, educational psychology, and the learning sciences. Converging Perspectives on Conceptual Change brings together an extensive team of expert contributors from around the world, and offers a unique examination of how distinct lines of inquiry can complement each other and have converged over time. Amin and Levrini adopt a new approach to assembling the diverse research on conceptual change: the combination of short position pieces with extended synthesis chapters within each section, as well as an overall synthesis chapter at the end of the volume, provide a coherent and comprehensive perspective on conceptual change research. Arranged over five parts, the book covers a number of topics including: the nature of concepts and conceptual change representation, language, and discourse in conceptual change modeling, explanation, and argumentation in conceptual change metacognition and epistemology in conceptual change identity and conceptual change. Throughout this wide-ranging volume, the editors present researchers and practitioners with a more internally consistent picture of conceptual change by exploring convergence and complementarity across perspectives. By mapping features of an emerging paradigm, they challenge newcomers and established scholars alike to embrace a more programmatic orientation towards conceptual change.
Conceptual modeling has always been one of the main issues in information systems engineering as it aims to describe the general knowledge of the system at an abstract level that facilitates user understanding and software development. This collection of selected papers provides a comprehensive and extremely readable overview of what conceptual modeling is and perspectives on making it more and more relevant in our society. It covers topics like modeling the human genome, blockchain technology, model-driven software development, data integration, and wiki-like repositories and demonstrates the general applicability of conceptual modeling to various problems in diverse domains. Overall, this book is a source of inspiration for everybody in academia working on the vision of creating a strong, fruitful and creative community of conceptual modelers. With this book the editors and authors want to honor Prof. Antoni Olivé for his enormous and ongoing contributions to the conceptual modeling discipline. It was presented to him on the occasion of his keynote at ER 2017 in Valencia, a conference that he has contributed to and supported for over 20 years. Thank you very much to Antoni for so many years of cooperation and friendship.
This new book aims to provide both beginners and experts with a completely algorithmic approach to data analysis and conceptual modeling, database design, implementation, and tuning, starting from vague and incomplete customer requests and ending with IBM DB/2, Oracle, MySQL, MS SQL Server, or Access based software applications. A rich panoply of s
This volume contains a collection of selected papers presented at the Symposium on Conceptual Modeling, which was held in Los Angeles, California, on December 2, th 1997, immediately before the 16 International Conference on Conceptual Modeling (ER’97), which was held at UCLA. A total of eighteen papers were selected for inclusion in this volume. These papers are written by experts in the conceptual modeling area and represent the most current thinking of these experts. This volume also contains the summaries of three workshops that were held on 6 7 December 1997, immediately after the ER’97 conference at UCLA. The topics of these three workshops are: • Behavioral Modeling • Conceptual Modeling in Multimedia Information Seeking • What Is the Role of Cognition in Conceptual Modeling? Since these topics are not only very important but also very timely, we think it is appropriate to include the summary of these three workshops in this volume. Those readers interested in further investigating topics related to the three workshops can either look up the individual paper published on the Web or contact the authors directly. The summary paper by Chen at the beginning of this volume also includes the summary of several interesting speeches at the Symposium.
This book compiles contributions from renowned researchers covering all aspects of conceptual modeling, on the occasion of Arne Sølvberg’s 67th birthday. Friends of this pioneer in information systems modeling contribute their latest research results from such fields as data modeling, goal-oriented modeling, agent-oriented modeling, and process-oriented modeling. The book reflects the most important recent developments and application areas of conceptual modeling, and highlights trends in conceptual modeling for the next decade.
This book draws new attention to domain-specific conceptual modeling by presenting the work of thought leaders who have designed and deployed specific modeling methods. It provides hands-on guidance on how to build models in a particular domain, such as requirements engineering, business process modeling or enterprise architecture. In addition to these results, it also puts forward ideas for future developments. All this is enriched with exercises, case studies, detailed references and further related information. All domain-specific methods described in this volume also have a tool implementation within the OMiLAB Collaborative Environment – a dedicated research and experimentation space for modeling method engineering at the University of Vienna, Austria – making these advances accessible to a wider community of further developers and users. The collection of works presented here will benefit experts and practitioners from academia and industry alike, including members of the conceptual modeling community as well as lecturers and students.
The objective of the workshops held in conjunction with ER 2002, the 21st International Conference on Conceptual Modeling, was to give participants the opportunitytopresentanddiscussemerginghottopics,thusaddingnewpersp- tives to conceptual modeling. To meet this objective, we selected the following four workshops: – 2nd InternationalWorkshop on Evolution and Changein Data Management (ECDM 2002) – ER/IFIP8. 1 Workshop on Conceptual Modelling Approaches to Mobile - formation Systems Development (MobIMod 2002) – International Workshop on Conceptual Modeling Quality (IWCMQ 2002) – 3rd International Joint Workshop on Conceptual Modeling Approaches for E-business: a Web Service Perspective (eCOMO 2002) ER 2002 was organized so that there would be no overlap between the c- ference sessions and the workshops. This proceedings contains workshop papers that wererevisedby the authors following discussions during the conference. We are deeply indebted to the members of the organizing committees and program committees of these workshops for their hard work. July 2003 Antoni Oliv ́ e, Masatoshi Yoshikawa, and Eric S. K. Yu Workshop Co-chairs ER 2002 ECDM 2002 Change is a fundamental but sometimes neglected aspect of information and database systems. The management of evolution and change and the ability of database, information and knowledge-based systems to deal with change is an essential component in developing and maintaining truly useful systems. Many approachestohandlingevolutionandchangehavebeenproposedinvariousareas of data management, and this forum seeks to bring together researchers and practitioners from both more established areas and from emerging areas to look at this issue.