Topics

 

The conference covers a broad range of topics, including traditional database management, as well new challenges for data management in any possible domain. Prospective authors are encouraged to consider novel topics and approaches rather than proposing incremental improvements of existing results. Suggested topics include the following:

 

PHYSICAL-ARCHITECTURE-PERFORMANCE

   Access Methods and Physical Design

   Transactions and Workflow Management

   Distributed and Parallel Databases

   Grid Database Management

   Peer-to-Peer Databases

   Real-time and Micro Databases

   Embedded, Sensor and Mobile Databases

 

ADVANCED DATABASE TECHNOLOGY

   Active Databases

   Object-Oriented Databases

   Deductive Databases and Knowledge Bases

   Constraint Databases

   Spatial and Temporal Databases

   Geographic Information Systems

   Multimedia Databases and Information Retrieval

   Scientific and Statistical Databases

 

DATA WAREHOUSING AND KNOWLEDGE DISCOVERY

   Data Warehouses, Data Marts and OLAP

   Data Mining and Knowledge Discovery

   Inductive Databases

   Query Languages for Data Mining

   Database Support, Coupling and Primitives for Data Mining

   Resource Discovery

 

 


QUERYING
AND PROGRAMMING LANGUAGES

   Query Languages

   Query Processing and Optimization

   Imprecise Information and Approximate Queries

   Data Stream Processing and Continuous Queries over Data Streams

   Database Programming Language

 

DATA MODELS, DATA INTEGRATION AND SERVICES

   Data Models and Database Design

   Logic and Databases

   Semi-structured, XML, and Web Data

   Ontologies for Databases

   Interoperability and Ontologies

   Data Design, Evolution and Migration  

   Data Integration, Mapping and Transformation

   Web Services

 

DATABASE APPLICATIONS

   Databases in E-Commerce and E-Services

   Databases and Digital Libraries

   Databases and the Semantic Web

   Biological Databases

 

SOCIAL ISSUES, DATA SECURITY AND PRIVACY

   Security Policies

   Trust Management

   Data and Interaction Confidentiality

   Integrity, Authenticity and Non-Repudiation of Data

   Identity Management and Mapping

   Privacy in Advanced Database Applications

   Privacy Preserving Querying and Mining