LIBD:Themes

Affichages
De LIBD.
(Différences entre les versions)
m
m
Ligne 25 : Ligne 25 :
 
:*<b>The GAM</b>.   
 
:*<b>The GAM</b>.   
 
:*<b>The GER model</b>. The Generic Entity-relationship model (GER) is a wide-spectrum information/data structure specification model. Encompassing the main concepts and constructs of most popular modeling formalisms, be they value-based or object-based, it has been given a precise semantics via an extended version of the NF2 (non-first normal form, or nested) relational model [6]. Through a specialization mechanism, such usual models as ERA, UML class diagram and ORM can be rigourously specified and compared [7].  Similarly, the GER can be used to define standard data models such as the relational, object-relational, CODASYL, IMS, XML or plain file structure models.  
 
:*<b>The GER model</b>. The Generic Entity-relationship model (GER) is a wide-spectrum information/data structure specification model. Encompassing the main concepts and constructs of most popular modeling formalisms, be they value-based or object-based, it has been given a precise semantics via an extended version of the NF2 (non-first normal form, or nested) relational model [6]. Through a specialization mechanism, such usual models as ERA, UML class diagram and ORM can be rigourously specified and compared [7].  Similarly, the GER can be used to define standard data models such as the relational, object-relational, CODASYL, IMS, XML or plain file structure models.  
:*<b>The DB-MAIN model</b>. This model is a partial implementation of the GER. It has been developed for the DB-MAIN CASE environment. A precise definition can be found in the DB-MAIN manuals and in DB design tutorials   .
+
:*<b>The DB-MAIN model</b>. This model is a partial implementation of the GER. It has been developed for the DB-MAIN CASE environment. A precise definition can be found in the DB-MAIN manuals [***] and in DB design tutorials [***].
 
:*<b>Temporal data models</b>. [P01-02]
 
:*<b>Temporal data models</b>. [P01-02]
 
*'''Keywords'''  
 
*'''Keywords'''  

Version du 12 novembre 2010 à 12:17

Page en cours / Page in development


Thèmes et ressources/ Themes and resources


Cette section regroupe et intègre les différentes ressources du LIBD autour de thématiques spécifiques.
This section collects and integrates the resources of the LIBD into specific themes.


<Retour à la page d'accueil / Back>


Sommaire

Introduction

Modeling and Meta-modeling

  • Description

Database Models

  • Description
The development and the exploitation of data models are at the baseline of the database engineeering domain. They allow database structures to be described at the appropriate level of abstraction, so that one can rigourously evaluate and transform schemas and reason about them. They are at the core of design methodologies and CASE tools. The conceptual models, such as the Entity-relationship model and some interpretation of UML class diagrams are aimed at describing data/information structures at the conceptual, technology-independent level, while the many logical models currently available are intended to represent data structures as they are implemented by data managers (or by families thereof).
  • The Individual model. Reference [P74-04] reports on the first version on the Individual model (a variant of the ER model), which was the main component of the MERISE methodology. Hubert Tardieu, the architect of the Merise methodology was a member of the team.
  • The GAM.
  • The GER model. The Generic Entity-relationship model (GER) is a wide-spectrum information/data structure specification model. Encompassing the main concepts and constructs of most popular modeling formalisms, be they value-based or object-based, it has been given a precise semantics via an extended version of the NF2 (non-first normal form, or nested) relational model [6]. Through a specialization mechanism, such usual models as ERA, UML class diagram and ORM can be rigourously specified and compared [7]. Similarly, the GER can be used to define standard data models such as the relational, object-relational, CODASYL, IMS, XML or plain file structure models.
  • The DB-MAIN model. This model is a partial implementation of the GER. It has been developed for the DB-MAIN CASE environment. A precise definition can be found in the DB-MAIN manuals [***] and in DB design tutorials [***].
  • Temporal data models. [P01-02]
  • Keywords
ER model, Invidual model, wide-spectrum model, GER model, logical data model, temporal model, network model, hierarchical model, OO model, large schema layout, semantic and statistical aspects of models, IS-A relations
  • Resources
[P09-03] Jean-Luc Hainaut. Network Data Model, in Encyclopedia of Database Systems, Liu, L. and Özsu, T. (Eds), Springer-Verlag, 2009. [ [description]] [full text]
[P09-02] Jean-Luc Hainaut. Hierarchical Data Model, in Encyclopedia of Database Systems, Liu, L. and Özsu, T. (Eds), Springer-Verlag, 2009. [ [description]] [full text]
[P08-05] Anthony Cleve, Jean Henrard, Didier Roland and Jean-Luc Hainaut. Wrapper-based System Evolution - Application to CODASYL to Relational Migration, in Proceedings of the 12th European Conference on Software Maintenance and Reengineering (CSMR’08), pages 13-22, IEEE Computer Society, 2008. [description]
[P05-06] Yannis Tzitzikas and Jean-Luc Hainaut. How to Tame a Very Large ER Diagram (Using Link Analysis and Force-Directed Drawing Algorithms), in Proceedings of the 24th International Conference on Conceptual Modeling, (ER’05), Lecture Notes in Computer Science, Volume 3716, pages 144-159, Springer-Verlag, 2005. [description] [full text]
[P01-02] Virginie Detienne and Jean-Luc Hainaut. CASE Tool Support for Temporal Database Design, in Proceedings of the 20th International Conference on Conceptual modeling, (ER’01), Lecture Notes in Computer Science, Volume 2224, pages 208-224, Springer-Verlag, 2001. [description] [full text]
[P97-03] Jean-Luc Hainaut, Jean Henrard, Jean-Marc Hick, Didier Roland and Vincent Englebert. Contribution to the Reverse Engineering of OO Applications - Methodology and Case Study, in Proceedings of the IFIP TC2/WG2.6 Seventh Conference on Database Semantics, (DS-7), IFIP Conference Proceedings, Volume 124, pages 131-161, Chapman and Hall, 1997. [description] [full text]
[P96-08] Jean-Luc Hainaut. Specification preservation in schema transformations - Application to semantics and statistics, Data and Knowledge Engineering, 16(1): Elsevier Science Publish., 1996. [description] [full text]
[P96-05] Jean-Luc Hainaut, Jean-Marc Hick, Vincent Englebert, Jean Henrard and Didier Roland. Understanding implementations of IS-A Relations, in Proceedings of 15th International Conference on Conceptual Modeling, (ER’96), Lecture Notes in Computer Science, Volume 1157, pages 42-57, Springer-Verlag, 1996. [description] [full text]
[P96-03] Jean-Luc Hainaut, Didier Roland, Vincent Englebert, Jean-Marc Hick and Jean Henrard. Database Reverse Engineering - A Case Study, in Actes du 2ème Forum International d’Informatique Appliquée, ESIG, 1996. [description] [full text]
[P90-01] Jean-Luc Hainaut. Entity-Relationship models : formal specification and comparison, in Proceedings of the 9th International Conference on the Entity-Relationship Approach (ER’90), pages 53-64, ER Institute, 1990. [description] [full text]
[P89-01] Jean-Luc Hainaut. A Generic Entity-Relationship Model, in Proceedings of the IFIP WG 8.1 Conference on Information System Concepts: an in-depth analysis, pages 109-138, North-Holland, 1989. [description] [full text]
[P78-01] Baudouin Charlier. Quelques réflexions concernant les modèles et langages de bases de données, in Actes des communications de l'Ecole d'été 1978 de l'AFCET, pages 176-185, Publication FUNDP, 1978. [full text]
[P74-04] Claude Deheneffe, Jean-Luc Hainaut and Hubert Tardieu. The Individual Model, in Proceedings of the International Workshop on Data Structure Models for Information Systems, pages 89-118, Presses Universitaires de Namur, 1974. [description] [full text]
[P74-02] Claude Deheneffe, Henri Hennebert and Walter Paulus. A Relational Model for a Data Base, in Proceedings of the IFIP congress 74, pages 1022-1025, North-Holland, 1974. [description] [full text]
[P74-01] Jean-Luc Hainaut and Baudouin Charlier. An Extensible Semantic Model of Data Base and Its Data language, in Proceedings of the IFIP Congress 74, pages 1026-1030, North-Holland, 1974. [description] [full text]

Database Languages and API

  • Description:
  • Keywords
new database languages, dynamic SQL, temporal API, wrappers
  • Resources
[P10-05] Anthony Cleve, Anne-France Brogneaux, Jean-Luc Hainaut. A Conceptual Approach to Database Applications Evolution, in Proceedings of the 29th International Conference on Conceptual Modeling (ER'2010), Lecture Notes in Computer Science No 6412, pages 132 - 145, Springer-Verlag, 2010. -- to appear. [description]
[P08-05] Anthony Cleve, Jean Henrard, Didier Roland and Jean-Luc Hainaut. Wrapper-based System Evolution - Application to CODASYL to Relational Migration, in Proceedings of the 12th European Conference on Software Maintenance and Reengineering (CSMR’08), pages 13-22, IEEE Computer Society, 2008. [description]
[P08-02] Anthony Cleve, Jean-Luc Hainaut. Dynamic Analysis of SQL Statements for Data-Intensive Applications Reverse Engineering, Proceedings of the 15th Working Conference on Reverse Engineering, (WCRE'08), IEEE Computer Society, 2008.
[P06-08] Philippe Thiran, Jean-Luc Hainaut, Geert-Jan Houben and Djamal Benslimane. Wrapper-based evolution of legacy information systems, ACM Trans. Softw. Eng. Methodol., 15(4): pages 329-359, ACM Press, 2006. [description]
[P06-06] Anthony Cleve and Jean-Luc Hainaut. Co-transformations in Database Applications Evolution, in Generative and Transformational Techniques in Software Engineering, Lecture Notes in Computer Science, Volume 4143, pages 409-421, Springer-Verlag, 2006. [description]
[P06-04] Anthony Cleve. Automating Program Conversion in Database Reengineering - A Wrapper-based Approach, in Proceedings of the 10th European Conference on Software Maintenance and Reengineering (CSMR’06), 22-24 March 2006, Bari, Italy, pages 323-326, IEEE Computer Society, 2006. [description]
[P05-03] Philippe Thiran, Hainaut Jean-Luc and Geert-Jan Houben. Database Wrappers Development: Towards Automatic Generation, in Proceedings of the 9th European Conference on Software Maintenance and Reengineering, (CSMR’05), pages 207-216, IEEE Computer Society, 2005. [description] [full text]
[P04-08] Philippe Thiran, Geert-Jan Houben, Hainaut Jean-Luc and Djamal Benslimane. Updating Legacy Databases through Wrappers: Data Consistency Management, in Proceedings of the 11th Working Conference on Reverse Engineering (WCRE’04), IEEE Computer Society, 2004. [description] [full text]
[P04-04] Jean Henrard, Anthony Cleve and Jean-Luc Hainaut. Inverse Wrappers for Legacy Information Systems Migration, in Proceedings of 1st International Workshop on Wrapper Techniques for Legacy Systems, (WCRE’04/WRAP’04), Computer Science Report, Volume 04-34, pages 30-43, Technische Universiteit Eindhoven, 2004. [description] [full text]
[P03-03] Jean-Marc Hick and Jean-Luc Hainaut. Strategy for database application evolution: the DB-MAIN approach, in Proceedings of the 22nd International Conference on Conceptual Modeling, (ER’03), Lecture Notes in Computer Science, Volume 2813, pages 291-306, Springer-Verlag, 2003. [description] [full text]
[P01-03] Philippe Thiran and Jean-Luc Hainaut. Wrapper Development for Legacy Data Reuse, in Proceedings of the 8th Working Conference on Reverse Engineering, (WCRE’01), pages 198-207, IEEE Computer Society, 2001. [description] [full text]
[P01-02] Virginie Detienne and Jean-Luc Hainaut. CASE Tool Support for Temporal Database Design, in Proceedings of the 20th International Conference on Conceptual modeling, (ER’01), Lecture Notes in Computer Science, Volume 2224, pages 208-224, Springer-Verlag, 2001. [description] [full text]
[P99-01] Philippe Thiran, Abdelmajid Chougrani, Jean-Marc Hick and Jean-Luc Hainaut. Generation of Conceptual Wrappers for Legacy Databases, in Proceedings of the 10th International Conference on Database and Expert Systems Applications, (DEXA’99), Lecture Notes in Computer Science, Volume 1677, pages 678-687, Springer-Verlag, 1999. [description] [full text]
[P81-01] Yves Delvaux and Jean-Luc Hainaut. Système portable de manipulation de bases de données, in Actes du congrès AFCET 1981, pages 385-395, Editions Hommes et Techniques, 1981. [description] [full text]
[P78-03] Baudouin Charlier and Jean-Luc Hainaut. Modèles, Langages et Systèmes pour la conception et l’exploitation de bases de données, in Actes du congrès AFCET 1978, pages 179-189, Editions Hommes et Techniques, 1978. [description] [full text]
[P78-02] Jean-Luc Hainaut. IDML : Système d'interaction avec des bases de données CODASYL, in Actes des communications de l'Ecole d'été 1978 de l'AFCET, pages 121-144, Publication FUNDP, 1978. [full text]
[P78-01] Baudouin Charlier. Quelques réflexions concernant les modèles et langages de bases de données, in Actes des communications de l'Ecole d'été 1978 de l'AFCET, pages 176-185, Publication FUNDP, 1978. [full text]
[P76-01] Claude Deheneffe and Henri Hennebert. NUL: A Navigational User’s Language for a Network Structured Data Base, in Proceedings of the 1976 ACM SIGMOD International Conference on Management of Data, pages 135-142, ACM, 1976. [description] [full text]

Meta-modeling

  • Description
  • Resources

Database Methodologies

  • Description

Method Modeling

  • Description
  • Resources

Database design (General)

  • Description
  • Resources

Conceptual Analysis

  • Description
  • Resources

Logical Design

  • Description
  • Resources

Physical Design

  • Description
  • Resources

Code Generation

  • Description
  • Resources

Database Schema Quality

  • Description
  • Resources

Database reverse Engineering

  • Description
  • Resources

Database Reverse Engineering

  • Description

Methodology and Techniques

  • Description
  • Resources

Tools

  • Description
  • Resources

Case Studies

  • Description
  • Resources

Transformational Engineering

  • Description

Principles and Methodology

  • Description
  • Resources

Tools

  • Description
  • Resources

Applications

  • Description
  • Resources

Database Evolution and Migration

  • Description

Database Evolution and Migration

  • Description
  • Resources

Program Evolution and Migration

  • Description
  • Resources

Data Interoperability

  • Description

Heterogeneous Data Integration

  • Description
  • Resources

Web Data Integration

  • Description
  • Resources

Special Databases

  • Description

Active Databases

  • Description
  • Resources

Temporal Databases

  • Description
  • Resources

Statistical Databases

  • Description
  • Resources

XML and the web

  • Description

XML Structures Modeling and Manipulation

  • Description
  • Resources

Web Reverse Enginering

  • Description
  • Resources

Tools

  • Description

DBMS

  • Description
  • Resources

Standard CASE Tools

  • Description
  • Resources

Special-purpose CASE Tools

  • Description
  • Resources

Meta-CASE Tools

  • Description
  • Resources

DB Access Tools

  • Description
  • Resources

Workflow modeling

  • Description

Model-base for Clinical Pathways

  • Description
  • Resources

Workflow Modeling

  • Description
  • Resources

Databases and Computing Models

  • Description

Modeling and Methodology

  • Description
  • Resources

Tools

  • Description
  • Resources

Educational Resources

  • Description

SQL

  • Description
  • Resources

Database Design

  • Description
  • Resources

Relational Theory

  • Description
  • Resources

Database Reverse Engineering

  • Description
  • Resources

Transformation-based Database Engineering

  • Description
  • Resources

Database Security

  • Description
  • Resources

Temporal Databases

  • Description
  • Resources


<Retour à la page d'accueil / Back>


Outils personnels