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| Author | : Michael L. Brodie |
| Publisher | : |
| Total Pages | : 92 |
| Release | : 1980 |
| Genre | : Database management |
| ISBN | : |
| Author | : Michael L. Brodie |
| Publisher | : |
| Total Pages | : 92 |
| Release | : 1980 |
| Genre | : Artificial intelligence |
| ISBN | : |
| Author | : M.L. Brodie |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 508 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461251966 |
The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling.
| Author | : Terry Halpin |
| Publisher | : Elsevier |
| Total Pages | : 792 |
| Release | : 2001-04-17 |
| Genre | : Computers |
| ISBN | : 0080508669 |
Information Modeling and Relational Databases provides an introduction to ORM (Object Role Modeling)-and much more. In fact, it's 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.Inside, ORM authority Terry Halpin blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his 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. The most in-depth coverage of Object Role Modeling available anywhere-written by a pioneer in the development of ORM. Provides additional coverage of Entity Relationship (ER) modeling and the Unified Modeling Language-all from an ORM perspective. Intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, instructors, managers, and programmers. Explains and illustrates required concepts from mathematics and set theory.
| Author | : Michael L. Brodie |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 1980 |
| Genre | : Data structures (Computer science) |
| ISBN | : |
| Author | : M.L. Brodie |
| Publisher | : Springer |
| Total Pages | : 536 |
| Release | : 1984 |
| Genre | : Computers |
| ISBN | : |
The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling.
| Author | : Alex T. Borgida |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 528 |
| Release | : 2009-07-06 |
| Genre | : Computers |
| ISBN | : 3642024637 |
This Festschrift volume, published in honor of John Mylopoulos on the occasion of his retirement from the University of Toronto, contains 25 high-quality papers, written by leading scientists in the field of conceptual modeling. The volume has been divided into six sections. The first section focuses on the foundations of conceptual modeling and contains material on ontologies and knowledge representation. The four sections on software and requirements engineering, information systems, information integration, and web and services, represent the chief current application domains of conceptual modeling. Finally, the section on implementations concentrates on projects that build tools to support conceptual modeling. With its in-depth coverage of diverse topics, this book could be a useful companion to a course on conceptual modeling.
| Author | : Pericles Loucopoulos |
| Publisher | : |
| Total Pages | : 584 |
| Release | : 1992-10-16 |
| Genre | : Computers |
| ISBN | : |
Conceptual Modeling is used to create databases, appropriate across numerous applications areas, while still retaining ``custom'' qualities of the individual database. Contains original chapters written by leading international researchers in order to integrate Conceptual Modeling, Computer Aided Software Engineering (CASE) and database systems and present their combined impact on the development of new information systems. Features papers on Extensible Systems, Deductive Databases and Object-Oriented DBMS.
| Author | : Peter P. Chen |
| Publisher | : Springer |
| Total Pages | : 326 |
| Release | : 2003-05-21 |
| Genre | : Computers |
| ISBN | : 3540488545 |
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.
| Author | : Juan C. Trujillo |
| Publisher | : Springer |
| Total Pages | : 636 |
| Release | : 2018-09-25 |
| Genre | : Computers |
| ISBN | : 3030008479 |
This book constitutes the refereed proceedings of the 37th International Conference on Conceptual Modeling, ER 2018, held in XI'an, China, in October 2018. The 30 full and 13 short papers presented together with 3 keynotes were carefully reviewed and selected from 151 submissions. This events covers a wide range of following topics: Conceptual modeling studies, ontological modeling, semi-structured data modeling, process modeling and management, spatio-temporal modeling, cloud-based modeling, schema and view modeling,languages and models, NoSQL modeling, conceptual modeling for machine learning and reasoning, applications of conceptual modeling.
