Dear all,
after our amazing first talk, we want to invite you to our next talk:
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May 16, 2017:
Ontology-based Data Quality Management for Data Streams
Sandra Geisler (RWTH Aachen; guest of the MOBI-group)
While today the broad availability of data streams enables new applications, sensors and other sources producing data streams require data quality (DQ) assessment as they are failure- and error-prone. Data Stream Management Systems (DSMS) enable processing of data streams, but many systems lack the ability to measure DQ in an efficient and customizable way. In this talk an ontology-based data quality framework for relational DSMS is presented which includes DQ measurement and monitoring in a transparent, modular, and flexible way. The framework is designed along a DQ management methodology suited for data streams. It follows a three-fold approach that takes the characteristics of relational data stream management for DQ metrics into account. The approach has been evaluated in the domains of road traffic applications and health monitoring. Two examples from those domains will be presented along a methodology for designing DQ-oriented data stream applications.
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Hope to see you there (again).
Cheers,
Christina