SEBD 2008

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 This CfP was obtained from WikiCFP