Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
EditorsYang Song, Bing Liu, Kisung Lee, Naoki Abe, Calton Pu, Mu Qiao, Nesreen Ahmed, Donald Kossmann, Jeffrey Saltz, Jiliang Tang, Jingrui He, Huan Liu, Xiaohua Hu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5433-5435
Number of pages3
ISBN (Electronic)9781538650356
DOIs
StatePublished - 22 Jan 2019
Event2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States
Duration: 10 Dec 201813 Dec 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Conference

Conference2018 IEEE International Conference on Big Data, Big Data 2018
CountryUnited States
CitySeattle
Period10/12/1813/12/18

Fingerprint

Semantics
Processing
Big data

Keywords

  • Complexity
  • Efficiency
  • Ordinances
  • Smart Cities
  • Social Media Mining
  • Twitter

Cite this

Puri, M., Varde, A., & Dong, B. (2019). Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. In Y. Song, B. Liu, K. Lee, N. Abe, C. Pu, M. Qiao, N. Ahmed, D. Kossmann, J. Saltz, J. Tang, J. He, H. Liu, ... X. Hu (Eds.), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 5433-5435). [8622162] (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2018.8622162
Puri, Manish ; Varde, Aparna ; Dong, Boxiang. / Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. editor / Yang Song ; Bing Liu ; Kisung Lee ; Naoki Abe ; Calton Pu ; Mu Qiao ; Nesreen Ahmed ; Donald Kossmann ; Jeffrey Saltz ; Jiliang Tang ; Jingrui He ; Huan Liu ; Xiaohua Hu. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 5433-5435 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).
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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 Aparna Varde and Boxiang Dong",
year = "2019",
month = "1",
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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 = "Yang Song and Bing Liu and Kisung Lee and Naoki Abe and Calton Pu and Mu Qiao and Nesreen Ahmed and Donald Kossmann and Jeffrey Saltz and Jiliang Tang and Jingrui He and Huan Liu and Xiaohua Hu",
booktitle = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",

}

Puri, M, Varde, A & Dong, B 2019, Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. in Y Song, B Liu, K Lee, N Abe, C Pu, M Qiao, N Ahmed, D Kossmann, J Saltz, J Tang, J He, H Liu & X Hu (eds), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018., 8622162, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, Institute of Electrical and Electronics Engineers Inc., pp. 5433-5435, 2018 IEEE International Conference on Big Data, Big Data 2018, Seattle, United States, 10/12/18. https://doi.org/10.1109/BigData.2018.8622162

Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. / Puri, Manish; Varde, Aparna; Dong, Boxiang.

Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. ed. / Yang Song; Bing Liu; Kisung Lee; Naoki Abe; Calton Pu; Mu Qiao; Nesreen Ahmed; Donald Kossmann; Jeffrey Saltz; Jiliang Tang; Jingrui He; Huan Liu; Xiaohua Hu. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5433-5435 8622162 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions

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N2 - 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.

AB - 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.

KW - Complexity

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M3 - Conference contribution

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BT - Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

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A2 - Qiao, Mu

A2 - Ahmed, Nesreen

A2 - Kossmann, Donald

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Puri M, Varde A, Dong B. Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. In Song Y, Liu B, Lee K, Abe N, Pu C, Qiao M, Ahmed N, Kossmann D, Saltz J, Tang J, He J, Liu H, Hu X, editors, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 5433-5435. 8622162. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018). https://doi.org/10.1109/BigData.2018.8622162