Probabilistic Entity Resolution with Imperfect Crowd: PERC A SUMMARY OF THE CIKM 2017 RESEARCH PAPER and VLDB 2018 DEMOnstration BY VIJAYA KRISHNA YALAVARTHI, XIANGYU KE, AND ARIJIT KHAN Introduction: In real world scenarios, we encounter many situations where two objects may not look exactly identical, but they represent the same entity. Example 1: 1. Vijaya Krishna Yalavarthi 2. Yalavarthi Vijaya Krishna 3. Xiangyu Ke 4. Arijit Khan In the above table, among the four names given, first two names represent the same person - Vijaya Krishna Yalavarthi, though they are not written in an identical way. Example 2: A B C Among the three images given, A and B represent Taj Mahal (India), whereas C represents Merlion (Singapore). Though A and B do not look identical, they represent the same entity - Taj Mahal. What is entity resolution? Entity resolution (ER) [2] is the