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Data Management in eCommerce: The Good, the Bad, and the Ugly.. SBBD, page 8. COPPE/UFRJ, (2001)Strong Stubborn Sets for Efficient Goal Recognition Design., , and . ICAPS, page 141-149. AAAI Press, (2018)Obsolescent Materialized Views in Query Processing of Enterprise Information Systems.. CIKM, page 367-374. ACM, (1999)Pay-as-you-go reconciliation in schema matching networks., , , , , and . ICDE, page 220-231. IEEE Computer Society, (2014)From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry., , , , and . CIKM, page 4114-4124. ACM, (2021)10042 Abstracts Collection - Semantic Challenges in Sensor Networks., , , , and . Semantic Challenges in Sensor Networks, volume 10042 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2010)Minimizing Human Effort in Reconciling Match Networks., , , , , , , and . ER, volume 8217 of Lecture Notes in Computer Science, page 212-226. Springer, (2013)Goal Recognition Design for Non-Optimal Agents., , and . AAAI, page 3298-3304. AAAI Press, (2015)Managing uncertainty in schema matching with top-K schema mappings. Journal on Data Semantics VI, (2006)MFIBlocks: An effective blocking algorithm for entity resolution., and . Inf. Syst., 38 (6): 908-926 (2013)