Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions

Manish Puri; Aparna S. Varde; Boxiang Dong

doi:10.1109/BigData.2018.8622162

Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

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 language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
Editors	Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5433-5435
Number of pages	3
ISBN (Electronic)	9781538650356
DOIs	https://doi.org/10.1109/BigData.2018.8622162
State	Published - 2 Jul 2018
Event	2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States Duration: 10 Dec 2018 → 13 Dec 2018

Publication series

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

Conference

Conference	2018 IEEE International Conference on Big Data, Big Data 2018
Country/Territory	United States
City	Seattle
Period	10/12/18 → 13/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Complexity
Efficiency
Ordinances
Smart Cities
Social Media Mining
Twitter

Access to Document

10.1109/BigData.2018.8622162

Cite this

Puri, M., Varde, A. S., & Dong, B. (2018). Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. In N. Abe, H. Liu, C. Pu, X. Hu, N. Ahmed, M. Qiao, Y. Song, D. Kossmann, B. Liu, K. Lee, J. Tang, J. He, & J. Saltz (Eds.), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 5433-5435). Article 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 S. ; 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 / Naoki Abe ; Huan Liu ; Calton Pu ; Xiaohua Hu ; Nesreen Ahmed ; Mu Qiao ; Yang Song ; Donald Kossmann ; Bing Liu ; Kisung Lee ; Jiliang Tang ; Jingrui He ; Jeffrey Saltz. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 5433-5435 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

@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",

}

Puri, M, Varde, AS & Dong, B 2018, Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. in N Abe, H Liu, C Pu, X Hu, N Ahmed, M Qiao, Y Song, D Kossmann, B Liu, K Lee, J Tang, J He & J Saltz (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 S.; Dong, Boxiang.
Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. ed. / Naoki Abe; Huan Liu; Calton Pu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He; Jeffrey Saltz. Institute of Electrical and Electronics Engineers Inc., 2018. p. 5433-5435 8622162 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

AU - Puri, Manish

AU - Varde, Aparna S.

AU - Dong, Boxiang

PY - 2018/7/2

Y1 - 2018/7/2

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

KW - Efficiency

KW - Ordinances

KW - Smart Cities

KW - Social Media Mining

KW - Twitter

UR - https://www.scopus.com/pages/publications/85062621370

U2 - 10.1109/BigData.2018.8622162

DO - 10.1109/BigData.2018.8622162

M3 - Conference contribution

AN - SCOPUS:85062621370

T3 - Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

SP - 5433

EP - 5435

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

A2 - Abe, Naoki

A2 - Liu, Huan

A2 - Pu, Calton

A2 - Hu, Xiaohua

A2 - Ahmed, Nesreen

A2 - Qiao, Mu

A2 - Song, Yang

A2 - Kossmann, Donald

A2 - Liu, Bing

A2 - Lee, Kisung

A2 - Tang, Jiliang

A2 - He, Jingrui

A2 - Saltz, Jeffrey

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Big Data, Big Data 2018

Y2 - 10 December 2018 through 13 December 2018

ER -

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

Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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