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Data and Information Quality"],"published-print":{"date-parts":[[2016,10,13]]},"abstract":"<jats:p>\n            Data Stream Management Systems (DSMS) provide real-time data processing in an effective way, but there is always a tradeoff between data quality (DQ) and performance. We propose an ontology-based data quality framework for relational DSMS that includes DQ measurement and monitoring in a transparent, modular, and flexible way. We follow a threefold approach that takes the characteristics of relational data stream management for DQ metrics into account. While (1)\n            <jats:italic>Query Metrics<\/jats:italic>\n            respect changes in data quality due to query operations, (2)\n            <jats:italic>Content Metrics<\/jats:italic>\n            allow the semantic evaluation of data in the streams. Finally, (3)\n            <jats:italic>Application Metrics<\/jats:italic>\n            allow easy user-defined computation of data quality values to account for application specifics. Additionally, a quality monitor allows us to observe data quality values and take counteractions to balance data quality and performance. The framework has been designed along a DQ management methodology suited for data streams. It has been evaluated in the domains of transportation systems and health monitoring.\n          <\/jats:p>","DOI":"10.1145\/2968332","type":"journal-article","created":{"date-parts":[[2016,10,11]],"date-time":"2016-10-11T18:01:35Z","timestamp":1476208895000},"page":"1-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["Ontology-Based Data Quality Management for Data Streams"],"prefix":"10.1145","volume":"7","author":[{"given":"Sandra","family":"Geisler","sequence":"first","affiliation":[{"name":"RWTH Aachen University, Aachen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph","family":"Quix","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Applied Information Technology and RWTH Aachen University, Sankt Augustin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sven","family":"Weber","sequence":"additional","affiliation":[{"name":"RWTH Aachen University, Aachen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Jarke","sequence":"additional","affiliation":[{"name":"RWTH Aachen University and Fraunhofer Institute for Applied Information Technology, Aachen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,10,6]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 2nd Biennal Conference on Innovative Data Systems Research (CIDR)","author":"Abadi Daniel J.","unstructured":"Daniel J. 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