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This paper demonstrates a system called SITAC based on our proposed approach to automate the discovery of concepts (called SITACs) in text sources that are identical semantically but alter their names over time. This system is developed to perform timeaware translation of queries over text corpora by incorporating terminology evolution, thus providing more accurate responses to users, e.g., query processing on Mumbai should automatically take into account its former name Bombay. The SITACdoi:10.1145/1951365.1951442 dblp:conf/edbt/KaluarachchiRVW11 fatcat:7pcsw52tazepjlgsclrnbuys5a