DATA 2012 - The International Conference on Data Technologies and Applications (DATA)

The purpose of the International Conference on Data Technologies and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, data warehousing, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.
Papers describing advanced methodologies, prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed. Accepted papers, presented at the conference by one of the authors, will be published in the conference proceedings. Acceptance will be based on quality, relevance and originality. Both full research papers and work-in-progress are welcome. There will be both oral and poster sessions.
Special sessions, dedicated to case-studies and commercial presentations, as well as demos or tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.
CONFERENCE AREAS
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. DATA WAREHOUSING AND BUSINESS INTELLIGENCE
2. DATA MANAGEMENT AND QUALITY
3. TRUST, PRIVACY AND SECURITY
4. ONTOLOGIES AND THE SEMANTIC WEB
AREA 1: DATA WAREHOUSING AND BUSINESS INTELLIGENCE
Warehouse Management
Change Detection
Legacy Systems
Data Scraping
Warehouse Applications
Datamining
Dimensional Modelling
OLAP and MDA Models
Decision Support Systems
Semi-structured and Unstructured Data
Information Integration
Update Filtering
Self-maintainability
AREA 2: DATA MANAGEMENT AND QUALITY
Big Data
Modeling and Managing Large Data Systems
Organizational Concepts and Best Practices
Architectural Concepts
Data and information quality
Data Modeling
Data analytics
Analytical Database Servers
Data Visualization
Mobile Data Management
Management of Sensor Data
Text Analytics
Business Cases and Cost/Benefit Analysis
AREA 3: TRUST, PRIVACY AND SECURITY
Accessibility of Data
Cloud Computing
Role-Based Access Control
Trust Management
XML Security
Ethical Aspects
Statistical Database Security
Identity Management
Digital Rights Management
Privacy Policies
Cryptography
Malicious Software
AREA 4: ONTOLOGIES AND THE SEMANTIC WEB
Computational Semantics
Interoperability
Web Services
Markup Languages
Social Networking
Corporate Semantic Web
Knowledge Management
Information retrieval
Semantic Web Dynamics
Digital libraries