@inproceedings{7b78e9f684f84bec968c2d2457b3168b,
title = "SITAC: Discovering semantically identical temporally altering concepts in text archives",
abstract = "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 time-aware 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 SITAC system constitutes a novel collaborative framework of natural language processing, association rule mining and contextual similarity.",
keywords = "Association rules, Information retrieval, Query processing, Ranking, Temporal changes, Text mining, Web search",
author = "Amal Kaluarachchi and Debjani Roychoudhury and Varde, \{Aparna S.\} and Gerhard Weikum",
year = "2011",
doi = "10.1145/1951365.1951442",
language = "English",
isbn = "9781450305280",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery / Special Interest Group on Programming Languages",
pages = "566--569",
booktitle = "Advances in Database Technology - EDBT 2011",
note = "14th International Conference on Extending Database Technology: Advances in Database Technology, EDBT 2011 ; Conference date: 22-03-2011 Through 24-03-2011",
}