The development of crowdsourced query processing systems has recently attracted a
significant attention in the database community. A variety of crowdsourced queries have …

In this paper, we study a hybrid human-machine approach for solving the problem of Entity
Resolution (ER). The goal of ER is to identify all records in a database that refer to the same …

Crowdsourcing and human computation enable organizations to accomplish tasks that are
currently not possible for fully automated techniques to complete, or require more flexibility …

Crowdsourcing provides access to a pool of human workers who can contribute solutions to
tasks that are challenging for computers. Proposals have been made for the use of …

Data deduplication stands as a building block for data integration and data cleaning. The
state-of-the-art techniques focus on how to exploit crowdsourcing to improve the accuracy of …

Deco is a comprehensive system for answering declarative queries posed over stored
relational data together with data obtained on-demand from the crowd. In this overview …

Abstract Hybrid Human-Machine Information Systems leverage novel architectures that
make systematic use of Human Computation by means of crowdsourcing. These …

While hierarchical namespaces such as filesystems and repositories have long been used
to organize data, the rapid increase in data production places increasing strain on users …

One emerging and challenging issue in Smarter Cities is Mobility. In order to gather mobility
data for relevant analyses, two solutions are widely discussed, namely the conventional …

Entity resolution (ER) classifies records that refer to the same real-world entity and is
fundamental to data cleaning. Identifying approximate but not exact duplicates in database …