Doctoral Consortium – Paper 2

ProvDS:Uncertain Provenance Management over Incomplete Linked Data Streams Qian Liu Doctoral Consortium October 22, 2017, 14:15. TC.3.07 Download paper (preprint)

Abstract

Data processing in distributed environments is often across heterogeneous systems, bearing the need to exchange provenance information, such as, how and when data was generated, combined, recombined, and processed. Distributed systems involve multiple participants and data sources which can produce erroneous data. Propagated errors are amplied due to various transformations in the data flow, e.g., projections, joins, analytics, recoveries. In the fields such as the Internet of Things (IoT) and smart cities, real-time data collected from distributed and unreliable devices lacks provenance ...