Synopsis
Explore how databases that change over time can be queried with logic that tracks evolution.
This book introduces a formal framework that blends temporal logic with Datalog to handle dynamic databases. It explains how time can be integrated into queries and how different semantics affect results, from traditional fixpoint ideas to inflationary, time-aware approaches.
Readers will see how temporal logic can express queries about events across time and how these queries relate to standard Datalog programs. The text compares domain-dependent and domain-independent queries, introduces safe Datalog with inflationary semantics, and demonstrates how to translate temporal queries into executable rules. Clear examples illustrate the construction of ordering predicates and practical techniques for modeling database evolution.
- Definitions of dynamic semantics and inflationary Datalog for time-aware queries
- Ways to express and compare temporal logic queries with Datalog
- Techniques to encode the order of data insertion and preserve safety
- Concrete examples showing how to compute complex relations over time
Ideal for students and professionals working with databases, logic, and temporal data modeling.
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Using Temporal Logic and Datalog to Query Databases Evolving in Time
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Paperback. Condition: New. Print on Demand. This book explores the intriguing intersection of temporal logic and Datalog, two powerful languages used to describe and query databases. The author delves into the concept of "dynamic databases," databases that evolve over time, and presents a framework for analyzing the evolution of these databases using Datalog programs. The book then introduces temporal logic as a language for querying these dynamic databases, allowing users to make predictions about future states. A key focus is on comparing the expressive power of Datalog queries and temporal logic queries, a fundamental question that has not been addressed before in this context. The author examines different types of queries, including domain-independent and domain-dependent queries, and explores the limitations of Datalog in capturing the full expressive power of temporal logic. Through rigorous analysis and detailed examples, this book offers a fresh perspective on the capabilities and limitations of both Datalog and temporal logic as tools for managing and querying dynamic databases. The book's insights provide a valuable foundation for understanding and building robust systems for handling evolving data in complex applications. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781333304638_0
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Using Temporal Logic and Datalog to Query Databases Evolving in Time Classic Reprint
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Using Temporal Logic and Datalog to Query Databases Evolving in Time Classic Reprint
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Using Temporal Logic and Datalog to Query Databases Evolving in Time (Classic Reprint)
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Paperback. Condition: Brand New. 35 pages. 9.00x6.00x0.08 inches. This item is printed on demand. Seller Inventory # zk1333304633
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