Mapping ORM to Datalog: An Overview

Optimization of modern businesses is becoming increasingly dependent on business intelligence and rule-based software to perform predictive analytics over massive data sets and enforce complex business rules. This has led to a resurgence of interest in datalog, because of its powerful capability...

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Main Authors: Halpin, Terry, Curland, Matthew, Stirewalt, Kurt, Viswanath, Navin
Format: Teaching Resource
Language:English
Published: Springer Berlin Heidelberg 2010
Subjects:
Online Access:http://eprints.intimal.edu.my/197/
http://eprints.intimal.edu.my/197/1/4.pdf
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author Halpin, Terry
Curland, Matthew
Stirewalt, Kurt
Viswanath, Navin
author_facet Halpin, Terry
Curland, Matthew
Stirewalt, Kurt
Viswanath, Navin
author_sort Halpin, Terry
building INTI Institutional Repository
collection Online Access
description Optimization of modern businesses is becoming increasingly dependent on business intelligence and rule-based software to perform predictive analytics over massive data sets and enforce complex business rules. This has led to a resurgence of interest in datalog, because of its powerful capability for processing complex rules, especially those involving recursion, and the exploitation of novel data structures that provide performance advantages over relational database systems. ORM 2 is a conceptual approach for fact oriented modeling that provides a high level graphical and textual syntax to facilitate validation of data models and complex rules with nontechnical domain experts. DatalogLB is an extended form of typed datalog that exploits fact-oriented data structures to provide deep and highly performant support for complex rules with guaranteed decidability. This paper provides an overview of recent research and development efforts to extend the Natural ORM Architect (NORMA) software tool to map ORM models to DatalogLB
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institution INTI International University
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language English
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publishDate 2010
publisher Springer Berlin Heidelberg
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spelling intimal-1972016-04-21T03:46:41Z http://eprints.intimal.edu.my/197/ Mapping ORM to Datalog: An Overview Halpin, Terry Curland, Matthew Stirewalt, Kurt Viswanath, Navin QA76 Computer software Optimization of modern businesses is becoming increasingly dependent on business intelligence and rule-based software to perform predictive analytics over massive data sets and enforce complex business rules. This has led to a resurgence of interest in datalog, because of its powerful capability for processing complex rules, especially those involving recursion, and the exploitation of novel data structures that provide performance advantages over relational database systems. ORM 2 is a conceptual approach for fact oriented modeling that provides a high level graphical and textual syntax to facilitate validation of data models and complex rules with nontechnical domain experts. DatalogLB is an extended form of typed datalog that exploits fact-oriented data structures to provide deep and highly performant support for complex rules with guaranteed decidability. This paper provides an overview of recent research and development efforts to extend the Natural ORM Architect (NORMA) software tool to map ORM models to DatalogLB Springer Berlin Heidelberg 2010 Teaching Resource NonPeerReviewed text en http://eprints.intimal.edu.my/197/1/4.pdf Halpin, Terry and Curland, Matthew and Stirewalt, Kurt and Viswanath, Navin (2010) Mapping ORM to Datalog: An Overview. [Teaching Resource]
spellingShingle QA76 Computer software
Halpin, Terry
Curland, Matthew
Stirewalt, Kurt
Viswanath, Navin
Mapping ORM to Datalog: An Overview
title Mapping ORM to Datalog: An Overview
title_full Mapping ORM to Datalog: An Overview
title_fullStr Mapping ORM to Datalog: An Overview
title_full_unstemmed Mapping ORM to Datalog: An Overview
title_short Mapping ORM to Datalog: An Overview
title_sort mapping orm to datalog: an overview
topic QA76 Computer software
url http://eprints.intimal.edu.my/197/
http://eprints.intimal.edu.my/197/1/4.pdf