@inproceedings{59c0c8d99a754c689c300ecc3300e0bb,
title = "Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions",
abstract = "This paper proposes an approach called TOLCS (Tweet Ordinance Linkage by Commonsense and Semantics) which helps connect specific ordinances or local laws to pertinent tweets expressing public reactions on them. TOLCS incorporates pragmatic aspects by commonsense knowledge, and semantic aspects by domain knowledge along with text similarity methods. It uses a blocking mechanism to reduce sample space for efficiently processing big data on ordinances and tweets.",
keywords = "Complexity, Efficiency, Ordinances, Smart Cities, Social Media Mining, Twitter",
author = "Manish Puri and Varde, {Aparna S.} and Boxiang Dong",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Big Data, Big Data 2018 ; Conference date: 10-12-2018 Through 13-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/BigData.2018.8622162",
language = "English",
series = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5433--5435",
editor = "Naoki Abe and Huan Liu and Calton Pu and Xiaohua Hu and Nesreen Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu and Kisung Lee and Jiliang Tang and Jingrui He and Jeffrey Saltz",
booktitle = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",
}
