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The Entity-Relationship Model
Excerpt from The Entity-Relationship Model: A Basis for the Enterprise View of Data The subject of the logical view of data has attracted considerable attention in the past ten years. However, most researchers have focused on the user View of data. The need for studying the enterprise view of data was not recognized until recently. Different users of a database may have different views of the database, but the enterprise should have a unique and consistent view of the database. This is particularly important in designing a logically meaningful and consistent database. The concept of the enterprise View of data is very useful in the database design process and in. About the Publisher Forgotte...
Buildings and Semantics
The built environment has been digitizing rapidly and is now transforming into a physical world that is at all times supplemented by a fully web-supported and interconnected digital version, often referred to as Digital Twin. This book shows how diverse data models and web technologies can be created and used for the built environment. Key features of this book are its technical nature and technical detail. The first part of the book highlights a large diversity of IT techniques and their use in the AEC domain, from JSON to XML to EXPRESS to RDF/OWL, for modelling geometry, products, properties, sensor and energy data. The second part of the book focuses on diverse software solutions and approaches, including digital twins, federated data storage on the web, IoT, cloud computing, and smart cities. Key research and strategic development opportunities are comprehensively discussed for distributed web-based building data management, IoT integration and cloud computing. This book aims to serve as a guide and reference for experts and professionals in AEC computing and digital construction including Master's students, PhD researchers, and junior to senior IT-oriented AEC professionals.
Specifications of Database Systems
Increasingly, formal specification is being used by database researchers to describe and understand the systems they are designing and implementing. Similarly, those working on formal specification techniques have recognised that the database field provides a rich context for developing their ideas. However, as experts in one field often have a relatively limited knowledge of the other, there is a growing need for discussion about the relationship between these two fields and how they can be usefully combined. This volume contains the 16 papers which were presented at the International Workshop on Specification on Database Systems, held in Glasgow, 3-5 July 1991. The purpose of the workshop ...
Date on Database
C. J. Date is one of the founding fathers of the relational database field. Many of today’s seasoned database professionals "grew up" on Date’s writings. Those same professionals, along with other serious database students and practitioners, form the core audience for Date’s ongoing writing efforts. Date on Database: Writings 2000-2006 is a compilation of Date’s most significant articles and papers over the past seven years. It gives readers a one-stop place in which to find Date’s latest thinking on relational technology. Many papers are not easily found outside this book.
Readings in Artificial Intelligence and Databases
The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current...
Principles of Database Management
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Learn Database Systems with Implementation and Examples
The main motivation behind writing this book is to teach the basic concepts of database systems through concrete and practical knowledge and examples without too many wordy and useless pages. The book is made deliberately concise and short covering the main aspects of databases that you have to master and gain either for industrial or academic purposes. The main chapters includes within this book are: Introduction to Databases, Database Design, SQL: Structured Query Language, SQL: Structured Query Language, SQL Transactions, Procedures & Triggers, Object Relational Databases, Databases & Java Programming, Solutions & Answers. The book website can be accessed at: http: //www.LearnDB.com
Introduction to Description Logic
The first introductory textbook on description logics, relevant to computer science, knowledge representation and the semantic web.
Introduction to DBMS
Database and I: A unified view of the Database KEY FEATURES ● Explains database fundamentals by using examples from the actual world. ● Extensive hands-on practice demonstrating SQL topics using MySQL standards. ● All-inclusive coverage for systematic reading and self-study. DESCRIPTION The knowledge of Database Management Systems (DBMS) has become a de facto necessity for every business user. Understanding various databases and how it becomes an integral part of any application has been a popular curriculum for undergraduates. In this book, you will learn about database design and how to build one. It has six chapters meant to bridge the gap between theory and legit implementation. Co...
Usage-Driven Database Design
Design great databases—from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems. Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical pr...
