Conceptual Modeling For New Information Systems Technologies
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Conceptual Modeling for New Information Systems Technologies
The objective of the workshops associated with ER 2001, the 20th International Con- rence on Conceptual Modeling, was to give participants the opportunity to present and discuss emerging hot topics, thus adding new perspectives to conceptual modeling. This, the 20th ER conference, the ?rst of the 21st century, was also the ?rst one in Japan. The conference was held on November 27-30, 2001 at Yokohama National University with 192 participants from 31 countries. ER 2001 encompasses the entire spectrum of c- ceptual modeling, from theoretical aspects to implementations, including fundamentals, applications, and software engineering. In particular, ER 2001 emphasized e-business and reengineering. To meet this objective, we selected the following four topics and planned four international workshops: – International Workshop on Conceptual Modeling of Human/Organizational/Social Aspects of Manufacturing Activities (HUMACS 2001) Manufacturing enterprises have to confront a host of demands. The competitive climate, enhanced by communication and knowledge sharing, will require incr- singly rapid responses to market forces. Customer demands for higher quality, better services, and lower cost will force manufacturers to reach new levels of ?exibility and adaptability. Sophisticated customers will demand products customized to meet their needs. Industries have so far sought to cope with these challenges primarily through advances in traditional capital by installing more powerful hardware and software technology. Attention to the role of humans combined with organizational and social schemes in manufacturing has only been marginal. The workshop HUMACS 2001 aimed to challenge the relevance of this last point.
Conceptual Modeling of Information Systems
Author: Antoni Olivé
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-08-15
It is now more than fifty years since the first paper on formal specifications of an information system was published by Young and Kent. Even if the term “conceptual model” was not used at that time, the basic intention of the abstract specification was to a large extent the same as for developing conceptual models today: to arrive at a precise, abstract, and hardware - dependent model of the informational and time characteristics of a data processing problem. The abstract notation should enable the analyst to - ganize the problem around any piece of hardware. In other words, the p- pose of an abstract specification was for it to be used as an invariant basis for designing different alternative implementations, perhaps even using different hardware components. Research and practice of abstract modeling of information systems has since the late fifties progressed through many milestones and achie- ments. In the sixties, pioneering work was carried out by the CODASYL Development committee who in 1962 presented the “Information Al- bra”. At about the same time Börje Langefors published his elementary message and e-file approach to specification of information systems. The next decade, the seventies, was characterized by the introduction of a large number of new types of, as they were called, “data models”. We saw the birth of, for instance, Binary Data Models, Entity Relationship Models, Relational Data Models, Semantic Data Models, and Temporal Deductive Models.
Conceptual Modeling for New Information Systems Technologies
Author: Hiroshi Arisawa
language: en
Publisher: Springer Science & Business Media
Release Date: 2002-09-18
This book constitutes the thoroughly refereed joint post-proceedings of four international workshops held in conjunction with the 20th International Conference on Conceptual Modeling, ER 2001, held in Yokohama, Japan in November 2001. The 37 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. In accordance with the respective workshops, the papers are organized in topical sections on conceptual modeling and human, organizational, and social aspects; data semantics in web information systems; conceptual modeling approaches for e-business; and global data modeling.