Using Temporal Logic and Datalog to Query Databases Evolving in Time (Classic Reprint) - Tapa blanda
Sinopsis
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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Reseña del editor
Excerpt from Using Temporal Logic and Datalog to Query Databases Evolving in Time
In this paper, we study a query language about databases evolving in (infinite) time. The syntax of the query language is based on a predicate temporal logic. The semantics of the language is defined with infinite sequences of database states, which in this paper are determined either by pure Datalog programs or by negated Datalog programs with inflationary semantics. In general, other mechanisms for defining the semantics, such as production systems, can be used. We analyze the relative expressive power of such a query language and the standard Datalog queries for both pure and negated Datalog programs. We show that our query language has more expressive power than Datalog queries for both pure and negated Datalog programs in general. However, we also prove a surprising technical result that the existential fragment of temporal logic has the same expressive power as Datalog queries for negated Datalog programs with inflationary semantics. This result implies the collapse of the existential fragment of temporal logic for such programs: any temporal logic formula from that fragment can be reduced to an equivalent formula with a single possibility operator.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Reseña del editor
Excerpt from Using Temporal Logic and Datalog to Query Databases Evolving in Time
We would like to compute the relation closercousins, defined by closercousins (x, y, u, v)
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Using Temporal Logic and Datalog to Query Databases Evolving in Time
Impresión bajo demandaLibrería: Forgotten Books, London, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9781333304638_0
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Using Temporal Logic and Datalog to Query Databases Evolving in Time Classic Reprint
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781333304638
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Using Temporal Logic and Datalog to Query Databases Evolving in Time Classic Reprint
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781333304638
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Using Temporal Logic and Datalog to Query Databases Evolving in Time (Classic Reprint)
Impresión bajo demandaLibrería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 35 pages. 9.00x6.00x0.08 inches. This item is printed on demand. Nº de ref. del artículo: zk1333304633
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