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17th - 20th June | 2007 |Torre Canne (Fasano, BR)| Italy | Italian Version ...

 

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. The main topics of SEBD 2007 will include, but are not limited to:

PHYSICAL-ARCHITECTURE-PERFORMANCE
Access Methods and Physical Design
Transaction 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 Languages

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


 

 

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