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2 edition of study of parallel deductive database systems. found in the catalog.

study of parallel deductive database systems.

Jianhua Shao

study of parallel deductive database systems.

by Jianhua Shao

  • 109 Want to read
  • 33 Currently reading

Published by The author] in [s. l .
Written in English


Edition Notes

Thesis (D. Phil) - Universityof Ulster, 1990.

ID Numbers
Open LibraryOL13873907M

Parallel processing and distributed storage seems to be a practical way of implementing a disjunctive deductive database system (DDDB). This paper identifies ideas developed in parallel relational databases that can be applied to the design of a parallel disjunctive deductive database system. The paper is divided into 4 : Jarek Gryz. Abstract. We investigate the declarative semantics of deductive databases and logic programs. We introduce the class of perfect models of a deductive database and argue that this class of models—enjoying many of the properties of the class of minimal models—provides a correct intended semantics for such databases, incorporating a natural form of the closed-world assumption.

Deductive database. This is a database system that can make judgments about its data based on a set of well-defined rules and facts. This type of database was developed to combine logic programming with relational DBMS. Why the deductive database? Declarative: clear understanding of what a database . jelly views: extending relational database systems toward deductive database systems This paper regards the Jelly View technology, which provides a new, practical methodology for knowledge decomposition, storage, and retrieval within Relational Database Management Systems (RDBMS).Author: Igor Wojnicki.

This book provides a tutorial introduction to deductive databases - one of the fastest growing areas in database technology. Deductive databases, based on logic, offer the possibility of reducing the complexity of information from databases by applying deductive rules. Deductive Database System. A deductive database system is a database system that supports the proof-theoretic view of a database, and,in particular, is capable of deducing are inferring additional facts from the given facts in the extensional database by applying specified deductive anxious are rules of inference to those given facts.


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Study of parallel deductive database systems by Jianhua Shao Download PDF EPUB FB2

As one of the major parts of the PROSPECT project a Parallel Deductive Database (PDDB) was implemented, which is now fully operational. PDDB presents the following features: extended Horn logic, an optimization phase before database access, parallel evaluation, precompilation of rules and a graphic interface based on X-Windows, including real-time visualization of the concurrent query by: 2.

This paper describes a parallel deductive database system, built on top of Prolog. The system is based on the TOP-DOWN evaluation of logic programs. Introduction: Parallel Database and Knowledge-Base Systems 3 In the second approach to parallelism in DBMS, some of these initiatives are already ap-parent.

This approach is based on the use of arrays of off-the-shelf components, such as microprocessors and (cheap) disks, to form parallel add-on database machines and perfor-mance accelerators.

The main motivations for development of the deductive database systems (DDSs) are: (1) to provide support for advanced database applications, with a focus on expert systems and knowledge-based. Data Placement in a Shared-Nothing Parallel Deductive Database. base used in this study has four base to the performance of any parallel database system as it is an important lever for.

all future of parallel database transaction systems. Over the last decade processing tasks. The success of Teradata, Tandem, and a host these systems refutes a of startup companies have suc- paper predicting the demise of cessfully developed and mar- database machines [3].

Ten keted highly parallel machines. years ago the future of highly File Size: 4MB. Abstract. study of parallel deductive database systems.

book In this paper we describe a distributed environment for the evaluation of data intensive queries through deductive rules. The distributed database query answering system has been developed on the IBM SP (POWERParallel) available in Argonne National : Claudio Robles, Jorge Lobo, Terry Gaasterland.

In a typical database application, the amount of data is sufficiently large that much of it is oil secondary storage. Efficient access to these data is crucial to good performance. A SURVEY OF DEDUCTIVE DATABASE SYSTEMS The first problem is adequately addressed Cited by: Database Management Systems and Their Implementation, Xu Lizhen 16 The advantages of DDBS: Local autonomy Good availability (because support multi copies) Good flexibility Low system cost High efficiency (most access processed locally, less communication comparing to centralized database system) Parallel process The disadvantages of DDBS:File Size: 1MB.

The use of parallel database systems for data mining is the fastest-growing component of the database server industry. The Gamma project evolved into the Exodus project at Wisconsin (focusing on an extensible object oriented database).

Exodus has now evolved to the Paradise system which combines object-oriented and parallel database techniques. rules. A special kind of database is used, namely a deductive database, which is a logical database that handles deductive rules.

The goal of this paper is to find the causes of efficiency defects in existing methods. A classification of redundant evaluations in existing methods is : R.R.

Seljée. as the main text in a database theory course or as complementary material in a database systems course. The book is fairly self-contained. Some needed background is provided concisely in the preliminaries, and the reader is told where more can be found.

We have attempted to make life easier for the database a cionado by adapting the ma-terial consistently to the database framework. This. An Introduction to Deductive Database Languages and Systems Kotagiri Ramamohanarao and James Harland 1.

Introduction One of the most fundamental uses of a computer is to store and retrieve information, particularly when there are a large amount of data to be stored, or there are complex.

PARALLEL & DISTRIBUTED DATABASES 1. PARALLEL DATABASE & PARALLEL PROCESSING 5. WHY PARALLEL PROCESSING 6 1 Terabyte 10 MB/s At 10 MB/s days to scan 1 Terabyte 1, x parallel in the system • Number of disks File Size: 1MB. What is a deductive database system.

A deductive database can be defined as an advanced database augmented with an inference system. By evaluating rules against facts, new facts can be derived, which in turn can be used to answer queries.

As a solution, we propose the DiNG file system as specialised mass storage subsystem for high performance deductive database machines. The DiNG file system is a highly parallel file system Author: Thomas Mück.

An arithmetic approach, such as the Level-Finding method described in this paper for evaluating linear recursive queries in deductive database systems provides great potential for parallel by: 1. Advanced DBMS Dr. Radványi Tibor manager, and the text managing system is a database. The third option is the database administration.

9 A database is a collection of the different phenomena that we are interested in, in an organised unit. The point is that a database is neither a data bank, nor the unorganised unitFile Size: 2MB. DEDUCTIVE DATABASE EXAMPLE • CORAL: CORAL project was developed at the University of Wisconsin in ; the idea was to develop a robust deductive database system.

• The CORAL system uses a declarative language and has a C++ front-end, allowing the user to program declaratively and imperatively. This book teaches query processing techniques for multimedia, object-oriented, deductive, parallel, and distributed databases, as well as heterogeneous multidatabase systems, fuzzy relational databases, and techniques for different types of unstructured Edition: 1.

Allocation of rules to sites in a distributed deductive database system is an important and challenging task especially for a large knowledge base. We identify communication cost in rule execution to be the primary basis for decomposing a global knowledge base into clusters for their allocation to by: 2.Basic Operation Parallel Processing System Logical Query Deductive Database Function Instance These keywords were added by machine and not by the authors.

This process is experimental and the keywords may be updated as the learning algorithm by: 2.Start studying Fundamentals of Database Systems: CH 1. Learn vocabulary, terms, and more with flashcards, games, and other study tools.