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Information Science Reference
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Titre : Data warehousing design and advanced engineering applications : Methods for complex construction Type de document : texte imprimé Auteurs : Ladjel Bellatreche (1968-....), Editeur scientifique Editeur : Hershey, PA : Information Science Reference Année de publication : 2010 Collection : Advances in data warehousing and mining series (ADWM), ISSN 1935-2646 Importance : 1 vol. (318 p.) Présentation : ill. Format : 29 cm ISBN/ISSN/EAN : 978-1-60566-756-0 Note générale : Bibliogr. p. 280-305 Langues : Anglais (eng) Catégories : Informatique Mots-clés : Entrepôts de données
Ingénierie avancéesIndex. décimale : 005.7 Données informatiques Résumé :
Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction covers the complete process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system. A defining collection of field discoveries, this advanced title provides significant industry solutions for those involved in this distinct research community.Note de contenu :
Table of Contents
Chapter 1
From User Requirements to Conceptual Design in Warehouse Design: A Survey (pages 1-16)
Chapter 2
Data Extraction, Transformation and Integration Guided by an Ontology (pages 17-37)
Chapter 3
X-WACoDa: An XML-Based Approach for Warehousing and Analyzing Complex Data (pages 38-54)
Chapter 4
Designing Data Marts from XML and Relational Data Sources (pages 55-80)
Chapter 5
Ontology-Based Integration of Heterogeneous, Incomplete and Imprecise Data Dedicated to a Decision Support System for Food Safety (pages 81-95)
Chapter 6
On Modeling and Analysis of Multidimensional Geographic Databases (pages 96-112)
Chapter 7
View Selection and Materialization (pages 114-130)
Chapter 8
ChunkSim: A Tool and Analysis of Performance and Availability Balancing (pages 131-149)
Chapter 9
QoS-Oriented Grid-Enabled Data Warehouses (pages 150-170)
Chapter 10
Data Warehouse Maintenance, Evolution and Versioning (pages 171-188)
Chapter 11
Construction and Maintenance of Heterogeneous Data Warehouses (pages 189-204)
Chapter 12
On Querying Data and Metadata in Multiversion Data Warehouse (pages 206-226)
Chapter 13
Ontology Query Languages for Ontology-Based Databases: A Survey (pages 227-247)
Chapter 14
Ontology-Based Database Approach for Handling Preferences (pages 248-271)
Chapter 15
Security in Data Warehouses (pages 272-279)
Index
Côte titre : Fs/19730 Data warehousing design and advanced engineering applications : Methods for complex construction [texte imprimé] / Ladjel Bellatreche (1968-....), Editeur scientifique . - Hershey, PA : Information Science Reference, 2010 . - 1 vol. (318 p.) : ill. ; 29 cm. - (Advances in data warehousing and mining series (ADWM), ISSN 1935-2646) .
ISBN : 978-1-60566-756-0
Bibliogr. p. 280-305
Langues : Anglais (eng)
Catégories : Informatique Mots-clés : Entrepôts de données
Ingénierie avancéesIndex. décimale : 005.7 Données informatiques Résumé :
Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction covers the complete process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system. A defining collection of field discoveries, this advanced title provides significant industry solutions for those involved in this distinct research community.Note de contenu :
Table of Contents
Chapter 1
From User Requirements to Conceptual Design in Warehouse Design: A Survey (pages 1-16)
Chapter 2
Data Extraction, Transformation and Integration Guided by an Ontology (pages 17-37)
Chapter 3
X-WACoDa: An XML-Based Approach for Warehousing and Analyzing Complex Data (pages 38-54)
Chapter 4
Designing Data Marts from XML and Relational Data Sources (pages 55-80)
Chapter 5
Ontology-Based Integration of Heterogeneous, Incomplete and Imprecise Data Dedicated to a Decision Support System for Food Safety (pages 81-95)
Chapter 6
On Modeling and Analysis of Multidimensional Geographic Databases (pages 96-112)
Chapter 7
View Selection and Materialization (pages 114-130)
Chapter 8
ChunkSim: A Tool and Analysis of Performance and Availability Balancing (pages 131-149)
Chapter 9
QoS-Oriented Grid-Enabled Data Warehouses (pages 150-170)
Chapter 10
Data Warehouse Maintenance, Evolution and Versioning (pages 171-188)
Chapter 11
Construction and Maintenance of Heterogeneous Data Warehouses (pages 189-204)
Chapter 12
On Querying Data and Metadata in Multiversion Data Warehouse (pages 206-226)
Chapter 13
Ontology Query Languages for Ontology-Based Databases: A Survey (pages 227-247)
Chapter 14
Ontology-Based Database Approach for Handling Preferences (pages 248-271)
Chapter 15
Security in Data Warehouses (pages 272-279)
Index
Côte titre : Fs/19730 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité Fs/19730 Fs/19730 Livre Bibliothéque des sciences Français Disponible
Disponible
Titre : Visual knowledge modeling for semantic web technologies : models and ontologies Type de document : texte imprimé Auteurs : Gilbert Paquette, Auteur Editeur : Hershey, PA : Information Science Reference Année de publication : 2010 Collection : Premier reference source Importance : 1 vol (473 p.) Format : 29 cm ISBN/ISSN/EAN : 978-1-61520-839-5 Note générale : 978-1-61520-839-5 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : Informatique Mots-clés : Informatique :web technologies Index. décimale : 004.6 Communications, interfaçage Résumé :
La modélisation des connaissances visuelles pour les technologies Web sémantiques: modèles et ontologies vise à rendre la modélisation des connaissances visuelles accessible aux individus en tant que méthode intellectuelle et ensemble d'outils à différents niveaux de formalisation. Il vise à fournir à ses lecteurs un langage visuel simple mais puissant pour structurer leurs pensées, analyser des informations, les transformer en connaissances personnelles, et communiquer des informations pour soutenir l'acquisition de connaissances dans des activités de collaboration.Note de contenu :
Sommaire
Preface
Acknowledgment
Introduction
Chapter 1
Representing Knowledge
Chapter 2
Modeling Using a Semi-Formal Visual Language
Chapter 3
Types and Examples of Knowledge Models
Chapter 4
Modeling Tools and Techniques
Chapter 5
Knowledge, Skills, and Competency
Chapter 6
Taxonomies of Problems and Generic Skills
Chapter 7
A Taxonomy of Generic Skills
Chapter 8
Modeling Multi-Actor Activity Scenarios
Chapter 9
Competency-Driven Scenarios and Actor Modeling
Chapter 10
Visual Ontology Modeling and the Semantic Web
Chapter 11
Referencing Resources through Ontology Evolution
Chapter 12
Competency Equilibrium and Instructional Scenarios' Quality
Chapter 13
Ontology-Based Software Component Aggregation
Chapter 14
From Semi-Formal Models to Formal Models
Chapter 15
An Ontology-Driven System for E-Learning and Knowledge Management
Chapter 16
Modeling for Learning
Chapter 17
Modeling for Instructional Engineering
Chapter 18
Modeling for Learning Design Repositories
Chapter 19
Modeling for Knowledge Management in Organizations
Chapter 20
Modeling for Tools and Environments Specification
Chapter 21
Modeling for Research and Communication
About the Author
Index
Côte titre : Fs/19848 Visual knowledge modeling for semantic web technologies : models and ontologies [texte imprimé] / Gilbert Paquette, Auteur . - Hershey, PA : Information Science Reference, 2010 . - 1 vol (473 p.) ; 29 cm. - (Premier reference source) .
ISBN : 978-1-61520-839-5
978-1-61520-839-5
Langues : Anglais (eng) Langues originales : Anglais (eng)
Catégories : Informatique Mots-clés : Informatique :web technologies Index. décimale : 004.6 Communications, interfaçage Résumé :
La modélisation des connaissances visuelles pour les technologies Web sémantiques: modèles et ontologies vise à rendre la modélisation des connaissances visuelles accessible aux individus en tant que méthode intellectuelle et ensemble d'outils à différents niveaux de formalisation. Il vise à fournir à ses lecteurs un langage visuel simple mais puissant pour structurer leurs pensées, analyser des informations, les transformer en connaissances personnelles, et communiquer des informations pour soutenir l'acquisition de connaissances dans des activités de collaboration.Note de contenu :
Sommaire
Preface
Acknowledgment
Introduction
Chapter 1
Representing Knowledge
Chapter 2
Modeling Using a Semi-Formal Visual Language
Chapter 3
Types and Examples of Knowledge Models
Chapter 4
Modeling Tools and Techniques
Chapter 5
Knowledge, Skills, and Competency
Chapter 6
Taxonomies of Problems and Generic Skills
Chapter 7
A Taxonomy of Generic Skills
Chapter 8
Modeling Multi-Actor Activity Scenarios
Chapter 9
Competency-Driven Scenarios and Actor Modeling
Chapter 10
Visual Ontology Modeling and the Semantic Web
Chapter 11
Referencing Resources through Ontology Evolution
Chapter 12
Competency Equilibrium and Instructional Scenarios' Quality
Chapter 13
Ontology-Based Software Component Aggregation
Chapter 14
From Semi-Formal Models to Formal Models
Chapter 15
An Ontology-Driven System for E-Learning and Knowledge Management
Chapter 16
Modeling for Learning
Chapter 17
Modeling for Instructional Engineering
Chapter 18
Modeling for Learning Design Repositories
Chapter 19
Modeling for Knowledge Management in Organizations
Chapter 20
Modeling for Tools and Environments Specification
Chapter 21
Modeling for Research and Communication
About the Author
Index
Côte titre : Fs/19848 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité Fs/19848 Fs/19848 Livre Bibliothéque des sciences Anglais Disponible
Disponible
