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MEDI 2016 : International Conference on Model and Data Engineering


Conference Series : Model and Data Engineering
When Sep 21, 2016 - Sep 23, 2016
Where Aguadulce, Almería, Spain
Abstract Registration Due May 2, 2016
Submission Deadline May 11, 2016
Notification Due Jun 19, 2016
Final Version Due Jul 6, 2016

Call For Papers

6th International Conference on Model and Data Engineering

(MEDI 2016)

Aguadulce, Almería, SPAIN

21-23 September 2016

Special Issue: Computer Standards & Interfaces, Elsevier (5-Year Impact Factor: 1.314)

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.


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

Applications and tooling

•Industry transfer, experiences

•Data and model manipulation and tooling

•Modeling tools and experimentation

Important Dates

•Abstract Submission: May 2, 2016

•Full paper submission deadline: May 11th 2016

•Notification to authors: June 19th 2016

•Camera ready submissions: July 6th 2016

Authors are invited to submit research and application papers representing original, previously unpublished work. Papers should be submitted in PDF format. Submissions must conform to Springer's Lecture Notes in Computer Science (LNCS) format and should not exceed 12 pages. Authors who want to buy extra pages may submit a paper up to 16 pages with the indication that the authors will purchase extra pages if the paper is accepted. Submissions which do not conform to the LNCS format and/or which exceed 12 pages (or 16 pages with the extra page purchase commitment) will be rejected without reviews. Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. All accepted papers will be published in Springer LNCS series. Duplicate submissions are not allowed.

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