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SEBD 2014 : The 22nd Italian Symposium on Advanced Database Systems | |||||||||||
Link: http://www.sebd2014.unina.it | |||||||||||
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Call For Papers | |||||||||||
The 2014 edition of the SEBD Symposium will be organized by Multimedia Systems Group of Università di Napoli “Federico II” and will take place in Sorrento Coast (Castellammare di Stabia, Napoli) from June 16th to 18th 2014. This is the twenty-second edition of the symposium, which is the major annual event of the Italian database research community. The symposium is thought as a gathering forum to meet, discuss and exchange experiences among all those, both in the academy and industry, who are interested in database systems and in all their broad range of applications.
TOPICS OF INTEREST The conference covers a broad range of topics, including traditional database management, as well as new challenges for data management in any possible domain. Suggested topics include (but not limited to) the following: Access Methods and Physical Design; Concurrency Control and Recovery; Data structures and algorithms for data management; Transaction and workflow management, interoperability and Web services; Distributed and parallel databases; Grid, peer-to-peer databases and cloud computing; Real-time, embedded, sensor, and mobile databases; Scientific and Statistical Databases; Multimedia Databases, Digital libraries and Information Retrieval; Spatial, temporal and geographic databases; Data in social networks and Graph databases; Active databases; Object-oriented databases; Deductive Databases; Data models and database design; Incompleteness, inconsistency, and uncertainty in databases; Query languages; Query processing and optimization, approximate query answering; Semi-structured data; Data mining, knowledge discovery, information extraction, and machine learning; Data warehousing; Data integration, Heterogeneous and Federated DBMS; Meta-data management; Data visualization; Semantic-Web data; Ontology-based data management; Privacy, security, and trust management; Database Performance and Evaluation; Big Data Analytics; Cultural Heritage Applications. |
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