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Abstract:
Linked Data refers to data published in accordance with a number of principles
rooted in web standards. In the past few years we have witnessed a tremendous
growth in Linked Data publishing on the web, leading to tens of billions of
data items published online. Querying the data is a key functionality required
to make use of the wealth of rich interlinked data. The goal of the tutorial is
to introduce, motivate, and detail techniques for querying heterogeneous
structured data from across the web. Our tutorial aims to introduce database
researchers and practitioners to the new publishing paradigm on the web, and
show how the abundance of data published as Linked Data can serve as fertile
ground for database research and experimentation. As such, the tutorial focuses
on applying database techniques to processing Linked Data, such as optimized
indexing and query processing methods in the centralized setting as well as
distributed approaches for querying. At the same time, we make the connection
from Linked Data best practices to established technologies in distributed
databases and the concept of Dataspaces and show differences as well as
commonalities between the fields.
