AMW 2011 - 5th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2011)

The 5th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2011) will be held in Santiago, Chile, on May 9-12, 2011. This will be the third open version of the workshop, fourth in total. Previous editions were in Laguna San Rafael, Chile, November 2006; Punta del Este, Uruguay, November 2007; Arequipa, Peru, May 2009; and Buenos Aires, Argentina, May 2010.
http://db.ing.puc.cl/amw2011/cfp
This is an initiative of the Latin American community of researchers in data management, to which our friend, colleague and mentor Alberto so greatly contributed. In this way we expect to create a periodical Latin America-based venue for high level research in the fundamental aspects of the area. This is a way to honor the memory of Alberto, and to boost and solidify the research in the region. This event, as the previous ones, encourages the participation of Latin American graduate students and develops some activities specially designed for them. We have chosen an attractive location: Santiago is a fascinating city and many other touristic sites, such as beautiful Valparaiso, can be easily accessed from there. But more importantly, we want to offer an exciting scientific atmosphere, and receive high level research contributions. We solicit original submissions on foundational aspects of the following areas (among possibly others) of data management:

computational model theory; constraint databases; data exchange; data integration; data mining; data modeling; data management on the Web; data streams; data warehouses; database algorithms; distributed and parallel databases; incompleteness; inconsistency; information retrieval; integrity constraints; knowledge bases; logic; multimedia; physical design; privacy; provenance; quantitative approaches; query languages; query optimization; ontologies; real-time data; recovery; scientific data; search; security; semi-structured data; sensor data; services; spatial data; temporal data; transactions; uncertainty; updates; views; workflows; XML.