Download Free Research Foundations In Object Oriented And Semantic Database Systems Book in PDF and EPUB Free Download. You can read online Research Foundations In Object Oriented And Semantic Database Systems and write the review.

A presentation of the formal underpinnings of object-oriented programming languages.
Although the theory of object-oriented programming languages is far from complete, this book brings together the most important contributions to its development to date, focusing in particular on how advances in type systems and semantic models can contribute to new language designs.The fifteen chapters are divided into five parts: Objects and Subtypes, Type Inference, Coherence, Record Calculi, and Inheritance. The chapters are organized approximately in order of increasing complexity of the programming language constructs they consider - beginning with variations on Pascal- and Algol-like languages, developing the theory of illustrative record object models, and concluding with research directions for building a more comprehensive theory of object-oriented programming languages.Part I discusses the similarities and differences between "objects" and algebraic-style abstract data types, and the fundamental concept of a subtype. Parts II-IV are concerned with the "record model" of object-oriented languages. Specifically, these chapters discuss static and dynamic semantics of languages with simple object models that include a type or class hierarchy but do not explicitly provide what is often called dynamic binding. Part V considers extensions and modifications to record object models, moving closer to the full complexity of practical object-oriented languages.Carl A. Gunter is Professor in the Department of Computer and Information Science at the University of Pennsylvania. John C. Mitchell is Professor in the Department of Computer Science at Stanford University.
The design and functioning of an information system improve to the extent that the system can handle the questions people ask. Surprisingly, however, researchers in the cognitive, computer, and information sciences have not thoroughly examined the multitude of relationships between information systems and questions -- both question asking and answering. The purpose of this book is to explicitly examine these relationships. Chapter contributors believe that questions play a central role in the analysis, design, and use of different kinds of natural or artificial information systems such as human cognition, social interaction, communication networks, and intelligent tutoring systems. Their efforts show that data structures and representations need to be organized around the questioning mechanisms in order to achieve a quick retrieval of relevant useful information.
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.
The book illustrates how this applies to the future of application system development, especially how it informs and affects Web services and business rule-based approaches, and how semantics will play out with XML and the semantic Web. The book also contains a quick reference guide to related terms and technologies.
This textbook builds knowledge progressively and sympathetically, from first principles to advanced topics. The authors explain how to take a project from the specification stage to completion, and offer guidance on choice of approach, techniques, hardware and software. Key ideas are presented in a readily understandable form through the use of diagrams and summary boxes, and the text is brought to life through the use of case studies. An ideal handbook for the undergraduate, postgraduate and professional historian embarking on a dissertation or historical research.
This volume contains the papers selected for presentation at the 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, held in Maebashi City, Japan, 28–31 October, 2003. The symposium was organized by the Maebashi Institute of Technology in co-operation with the Japanese Society for Artificial Intelligence. It was sponsored by the Maebashi Institute of Technology, Maebashi Convention Bureau, Maebashi City Government, Gunma Prefecture Government, US AFOSR/AOARD, the Web Intelligence Consortium (Japan), Gunma Information Service Industry Association, and Ryomo Systems Co., Ltd. ISMIS is a conference series that was started in 1986 in Knoxville, Tennessee. Since then it has been held in Charlotte (North Carolina), Knoxville (Tennessee), Turin (Italy), Trondheim (Norway), Warsaw (Poland), Zakopane (Poland), and Lyon (France). The program committee selected the following major areas for ISMIS 2003: active media human-computer interaction, autonomic and evolutionary computation, intelligent agent technology, intelligent information retrieval, intelligent information systems, knowledge representation and integration, knowledge discovery and data mining, logic for artificial intelligence, soft computing, and Web intelligence.
I must confess that I stumbled upon the object-oriented (00) world view during my explorations into the world of artificial intelligence (AI) in search of a new solution to the problem of building computer-integrated manufacturing systems (CIM). In 00 computing, I found the constructs to model the manufacturing enterprise in terms of information, a resource that is common to all activities in an organization. It offered a level of modularity, and the coupling/binding neces sary for fostering integration without placing undue restrictions on what the individual applications can do. The implications of 00 computing are more extensive than just being a vehicle for manufacturing applications. Leaders in the field such as Brad Cox see it introducing a paradigm shift that will change our world gradually, but as radically as the Industrial Revolution changed manufacturing. However, it must be borne in mind that simply using an object-oriented language or environment does not, in itself, ensure success in one's applications. It requires a different way of thinking, design discipline, techniques, and tools to exploit what the technology has to offer. In other words, it calls for a paradigm shift (as defined by Kuhn in The Structure of Scientific Revolution, a classic text in the history of science).