=Paper=
{{Paper
|id=None
|storemode=property
|title=Information Integration: a Vision for Integration Independence and Linking Open Data
|pdfUrl=https://ceur-ws.org/Vol-619/tutorial2.pdf
|volume=Vol-619
|dblpUrl=https://dblp.org/rec/conf/amw/Miller10
}}
==Information Integration: a Vision for Integration Independence and Linking Open Data==
<pdf width="1500px">https://ceur-ws.org/Vol-619/tutorial2.pdf</pdf>
<pre>
 Information Integration: a Vision for Integration
      Independence and Linking Open Data

                                 Renee J. Miller

                              University of Toronto
                             miller@cs.toronto.edu

To integrate information, data in dierent formats, from dierent, potentially
overlapping sources, must be related and transformed to meet the users' needs.
Ten years ago, Clio introduced a new paradigm for creating declarative schema
mappings to describe the relationship between data in heterogeneous schemas.
This enabled powerful tools for mapping discovery and integration code gener-
ation, greatly simplifying the integration process. In this talk, I take a look at
where our eld was a decade ago and where it is now in terms of support for data
integration. I share a vision for raising the level of abstraction further, to bet-
ter isolate applications from the details of how the integration is accomplished.
Integration independence allows applications to be independent of how, when,
and where information integration takes place, making materialization and the
timing of transformations an optimization decision that is transparent to appli-
cations. I identify a number of research challenges that remain to be addressed
in order to ultimately achieve this vision.

</pre>