Many important data management and analytics tasks cannot be completely addressed by
automated processes. Crowdsourcing is an effective way to harness human cognitive …

Any important data management and analytics tasks cannot be completely addressed by
automated processes. These tasks, such as entity resolution, sentiment analysis, and image …

Network alignment is the problem of pairing nodes between two graphs such that the paired
nodes are structurally and semantically similar. A well-known application of network …

Network alignment, the problem of identifying similar nodes across networks, is an emerging
research topic due to its ubiquitous applications in many data domains such as social …

Obtaining value from data through analysis often requires significant prior effort on data
preparation. Data preparation covers the discovery, selection, integration and cleaning of …

In recent years, crowdsourcing has become essential in a wide range of Web applications.
One of the biggest challenges of crowdsourcing is the quality of crowd answers as workers …

Crowdsourcing has been widely established as a means to enable human computation at
large-scale, in particular for tasks that require manual labelling of large sets of data items …

The amount of controversial issues being discussed on the Web has been growing
dramatically. In articles, blogs, and wikis, people express their points of view in the form of …

As key decisions are often made based on information contained in a database, it is
important for the database to be as complete and correct as possible. For this reason, many …

Today's social networks continuously generate massive streams of data, which provide a
valuable starting point for the detection of rumours as soon as they start to propagate …