Specializing in data management & big data curation
Paolo’s most important results have been in the area of information integration. In particular, he explored new formalisms and algorithms for the problem of translating data between heterogeneous repositories. He has been working also on automatic Web data extraction and integration.
Paolo Papotti got his Ph.D. in computer science at Universita’ degli Studi Roma Tre (2007, Italy) and before joining ASU he had been a senior scientist at Qatar Computing Research Institute.
He has authored more than 50 publications, and his work has been recognized with two “Best of the Conference” citations (SIGMOD 2009, VLDB 2016) and with a best demo award at SIGMOD 2015.
He has been a program committee member for several venues, such as SIGMOD, VLDB, ICDE, EDBT, WSDM, and is group leader for SIGMOD 2016. He is associate editor for the ACM Journal of Data and Information Quality (JDIQ).