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Crowdsourcing for Query Processing on Web Data: A Case Study on the Skyline Operator

Kinda El Maarry ; Technische Universität Braunschweig, Braunschweig, Germany
Christoph Lofi ; Technische Universität Braunschweig, Braunschweig, Germany
Wolf-Tilo Balke orcid id ; Technische Universität Braunschweig, Braunschweig, Germany

Puni tekst: engleski pdf 571 Kb

str. 43-60

preuzimanja: 314



In recent years, crowdsourcing has become a powerful tool to bring human intelligence into information processing. This is especially important forWeb data which in contrast to well-maintained databases is almost always incomplete and may be distributed over a variety of sources. Crowdsourcing allows to tackle many problems which are not yet attainable using machine-based algorithms alone: in particular, it allows to perform database operators on incomplete data as human workers can be used to provide values during runtime. As this can become costly quickly, elaborate optimization is required. In this paper, we showcase how such optimizations can be performed for the popular skyline operator for preference queries. We present some heuristics-based approaches and compare them to crowdsourcing-based approaches using sophisticated optimization techniques while especially focusing on result correctness.

Ključne riječi

incomplete web data, preference queries, skyline queries, crowdsourcing

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