Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (16 chapters)
-
Front Matter
-
Tables and Objects
-
Front Matter
-
-
Adding Rules
-
Front Matter
-
-
Positive Knowledge Systems: Concepts, Properties and Examples
-
Front Matter
-
-
Admitting Negative Information: From Tables to Bitables
-
Front Matter
-
-
More on Reaction and Deduction Rules
-
Front Matter
-
Keywords
About this book
In order to design and understand database and knowledge-based applications it is important to build upon well-established conceptual and mathematical foundations. What are the principles behind database and knowledge systems? What are their major components? Which are the important cases of knowledge systems? What are their limitations? Addressing these questions, and discussing the fundamental issues of information update, knowledge assimilation, integrity maintenance, and inference-based query answering, is the purpose of this book.
Foundations of Databases and Knowledge Systems covers both basic and advanced topics. It may be used as the textbook of a course offering a broad introduction to databases and knowledge bases, or it may be used as an additional textbook in a course on databases or Artificial Intelligence. Professionals and researchers interested in learning about new developments will benefit from the encyclopedic character of the book, which provides organized access to many advanced concepts in the theory of databases and knowledge bases.
Reviews
Zentralblatt MATH, 910 (1999)
Authors and Affiliations
Bibliographic Information
Book Title: Foundations of Knowledge Systems
Book Subtitle: with Applications to Databases and Agents
Authors: Gerd Wagner
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-1-4615-5723-4
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8212-6Published: 31 July 1998
Softcover ISBN: 978-1-4613-7621-7Published: 29 October 2012
eBook ISBN: 978-1-4615-5723-4Published: 06 December 2012
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XXIX, 296
Topics: Data Structures and Information Theory, Artificial Intelligence
Industry Sectors: Electronics, IT & Software, Telecommunications