Integrating data from multiple sources, a key
task that online communities often face is to match the schemas
of the data sources. Today, such matching often incurs a huge
workload that overwhelms the relatively small set of volunteer
integrators. In such cases, community members may not even
volunteer to be integrators, due to the high workload, and
consequently no integration systems can be built. To address
this problem, we propose to enlist the multitude of users in the
community to help match the schemas, in a Web 2.0 fashion.
We discuss the challenges of this approach and provide initial
solutions. Finally, we describe an extensive set of experiments on
both real-world and synthetic data that demonstrate the utility
of the approach.