6th International Conference on Model and Data Engineering (MEDI 2016)
When : 2016-09-21
Where : Almería, SPAIN
Submission Deadline : 2016-05-02
Categories : Computer Science & Information Technology , Database Management Systems
6th International Conference on Model and Data Engineering (MEDI 2016)
21-23 September 2016
Almería, SPAIN
Call For Papers
The 6th International Conference on Model & Data Engineering (MEDI) will be held from 21 to 23 September 2016 in Almería, Spain. Previous MEDI events took place at Obidos/Portugal (2011), Poitiers/France (2012), Calabria/Italy (2013), Larnaca/Cyrpus (2014) and Rhodes Island/ Greece (2015). The main objective of the conference is to provide a forum for the dissemination of research accomplishments and to promote the interaction and collaboration between the models and data research communities. This international scientific event, initiated by researchers from Euro-Mediterranean countries, aims also at promoting the creation of north-south scientific networks, projects and faculty/student exchanges.
Topics
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Modeling and Models Engineering
• Design of general-purpose modeling languages and related standards
• Model driven engineering, modeling languages, meta-modeling, model transformation, model evolution
• Formal modeling, verification and validation, analysis, testing
• Ontology based modeling, role of ontologies in modeling activities
• Model manipulation and models as first objects
• Heterogeneous modeling, model integration, interoperability
• Modeling in software engineering; applications of models
• Modeling in the contexts of emerging applications and paradigms: cloud computing, data analytics, big data, social network,services, etc.
• Modeling & Standards
Data Engineering
• Heterogeneous data, data Integration and Interoperability
• Distributed, parallel, grid, p2p, cloud databases
• Data warehouses and OLAP, data mining
• Database system Internals, performance, self-tuning benchmarking and testing
• Database security, personalization, recommendation
• Web databases, ontology based databases
• Applications and case studies
• Modeling for Data Management
• New models and architectures for databases and data warehouses
• Modeling and quality of data
• Modeling for enhancing sharing data
• Models for explicit and implicit semantics based data optimization
• Model reification, model repositories
• Modeling nonfunctional properties of systems
• Data as models and models as data
• Service based data management, service oriented applications
• Models for data monitoring
• Urbanization of database applications
• Cost Models for New Paradigms
• Eco-design of Advanced Database Applications
• Data Lifecycle Management for Big Data (sources, cleansing, federation, preservation, privacy, etc.)
• Machine Learning
• Knowledge Bases
• Hardware optimizations for Big Data (multi-core, GPU, networking, etc.)
• Data Flow management and scheduling
• Storage and analytic architectures
• Recommendation & Personalization
• Trust and credential management
• Trusted Computing in Cloud Computing