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EDBT 2011 Tutorials

Tutorial 1: Schema Matching and Mapping:
                  From Usage to Evaluation

Authors: Angela Bonifati (Icar-CNR),
              Yannis Velegrakis (University of Trento)
This tutorial provides an overview of current evaluation techniques for
schema matching and mapping tasks and tools, alongside existing and
broadly used evaluation scenarios. The objective is to introduce the
audience into the area of matching and mapping system evaluation, and
to highlight the need for leveraging robust benchmarks and yardsticks
for the comparison of the different matching and mapping tasks. Open
research problems will be identified and presented. The tutorial is for
both experienced researchers and unfamiliar investigators looking for a
quick and complete introduction to the topic.

Tutorial 2: Big Data and Cloud Computing:
                 Current State and Future Opportunities

Authors: Divyakant Agrawal (University of California Santa Barbara),
              Sudipto Das (UCSB),
              Amr El Abbadi (UCSB)

Scalable database management systems (DBMS) both for update intensive
application workloads as well as decision support systems for descriptive
and deep analytics are a critical part of the cloud infrastructure and play
an important role in ensuring the smooth transition of applications from the
traditional enterprise infrastructures to next generation cloud
infrastructures. Though scalable data management has been a vision for
more than three decades and much research has focussed on large scale data management in traditional enterprise setting, cloud computing
brings its own set of novel challenges that must be addressed to
ensure the success of data management solutions in the cloud
environment. This tutorial presents an organized picture of the
challenges faced by application developers and DBMS designers
in developing and deploying internet scale applications. Our
background study encompasses both classes of systems:
(i) for supporting update heavy applications, and (ii)
for ad-hoc analytics and decision support. We then focus on
providing an in-depth analysis of systems for supporting update
intensive web-applications and provide a survey of the
state-of-the-art in this domain. We crystallize the design choices
made by some successful systems large scale database management
systems, analyze the application demands and access patterns, and
enumerate the desiderata for a cloud-bound DBMS.

Tutorial 3: The Hidden Web, XML and the Semantic Web:
                 Scientific Data Management Perspectives

Authors: Fabian Suchanek (INRIA),
             Aparna Varde (Montclair State University),
             Richi Nayak (Queensland University of Technology),
             Pierre Senellart (Télécom ParisTech)

The World Wide Web no longer consists just of HTML pages. Our work
sheds light on a number of trends on the Internet that go beyond
simple Web pages. The hidden Web provides a wealth of data in semi-
structured form, accessible through Web forms and Web services. These
services, as well as numerous other applications on the Web, commonly
use XML, the eXtensible Markup Language. XML has become the lingua
franca of the Internet that allows customized markups to be defined for
specific domains. On top of XML, the Semantic Web grows as a
common structured data source. In this work, we first explain each of
these developments in detail. Using real-world examples from
scientific domains of great interest today, we then demonstrate how
these new developments can assist the managing, harvesting, and
organization of data on the Web. On the way, we also illustrate the
current research avenues in these domains. We believe that this effort
would help bridge multiple database tracks, thereby attracting
researchers with a view to extend database technology.