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Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking.

, , , and . EDBT, page 221-232. OpenProceedings.org, (2016)

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Hierarchical Characteristic Set Merging for Optimizing SPARQL Queries in Heterogeneous RDF., and . CoRR, (2018)Boosting the Efficiency of Large-Scale Entity Resolution with Enhanced Meta-Blocking., , , and . Big Data Res., (2016)Metrics for the Prediction of Evolution Impact in ETL Ecosystems: A Case Study., , , and . J. Data Semant., 1 (2): 75-97 (2012)Design Metrics for Data Warehouse Evolution., , , and . ER, volume 5231 of Lecture Notes in Computer Science, page 440-454. Springer, (2008)Challenges and Opportunities in the Evolving Data Web.. ER Workshops, volume 8697 of Lecture Notes in Computer Science, page 23-28. Springer, (2013)Diachronic Linked Data: Capturing the Evolution of Structured Interrelated Information on the Web., and . ERCIM News, (2014)Language Extensions for the Automation of Database Schema Evolution., , , , , and . ICEIS (1), page 74-81. (2008)Big Data Exploration, Visualization and Analytics., , and . Big Data Res., (2019)Schema-agnostic vs Schema-based Configurations for Blocking Methods on Homogeneous Data., , , and . Proc. VLDB Endow., 9 (4): 312-323 (2015)Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking., , , and . EDBT, page 221-232. OpenProceedings.org, (2016)