Chapter: Triggers and Inference In Database Systems

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Home > On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies > Triggers and Inference In Database Systems

On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies |

Michael L. Brodie; John Mylopoulos

Springer New York

On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies

Triggers and Inference In Database Systems

Chapter Info

Authors

Michael Stonebraker

ARI Id

1664486884547_1886964

Access

Not Available Free

Pages

297-314

DOI

10.1007/978-1-4612-4980-1_25

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4612-4980-1_25

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xxi
Front Matter		1-1
On Knowledge Base Management Systems	John Mylopoulos	3-8
The Knowledge Level of a KMBS	Ron Brachman; Hector Levesque	9-12
Knowledge Level Interfaces to Information Systems	Hector J. Levesque; Ronald J. Brachman	13-34
On Knowledge-Based System Architectures	Frank Manola; Michael L. Brodie	35-54
Discussion	Micheal L. Brodie; John Mylopoulos	55-59
Front Matter		61-61
A View Of Knowledge Representation	Hector J. Levesque	63-69
AI Knowledge Bases And Databases	David Israel	71-75
Knowledge versus Data	Gio Wiederhold	77-82
Knowledge Bases vs Databases	Michael L. Brodie; John Mylopoulos	83-86
Knowledge Based and Database Systems: Enhancements, Coupling or Integration?	Yannis Vassiliou	87-91
Knowledge Based and Database Systems: Enhancements, Coupling or Integration?	Micheal L. Brodie; John Mylopoulos	93-94
Front Matter		95-95
Notes on Inference: A Somewhat Skewed Survey	David Israel	97-109
Current Trends in Database Query Processing	Matthias Jarke	111-119
Logic and Database Systems	Jeffrey D. Ullman	121-123
Negation in Knowledge Base Management Systems	Shamin A. Naqvi	125-145
An Approach To Processing Queries In A Logic-Based Query Language	Jeffrey D. Ullman	147-164
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