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Commonsense based text mining on urban policy

  • Local laws on urban policy, i.e., ordinances directly affect our daily life in various ways (health, business etc.), yet in practice, for many citizens they remain impervious and complex. This article focuses on an approach to make urban policy more accessible and comprehensible to the general public and to government officials, while also addressing pertinent social media postings. Due to the intricacies of the natural language, ranging from complex legalese in ordinances to informal lingo in tweets, it is practical to harness human judgment here. To this end, we mine ordinances and tweets via reasoning based on commonsense knowledge so as to better account for pragmatics and semantics in the text. Ours is pioneering work in ordinance mining, and thus there is no prior labeled training data available for learning. This gap is filled by commonsense knowledge, a prudent choice in situations involving a lack of adequate training data. The ordinance mining can be beneficial to the public in fathoming policies and to officials inLocal laws on urban policy, i.e., ordinances directly affect our daily life in various ways (health, business etc.), yet in practice, for many citizens they remain impervious and complex. This article focuses on an approach to make urban policy more accessible and comprehensible to the general public and to government officials, while also addressing pertinent social media postings. Due to the intricacies of the natural language, ranging from complex legalese in ordinances to informal lingo in tweets, it is practical to harness human judgment here. To this end, we mine ordinances and tweets via reasoning based on commonsense knowledge so as to better account for pragmatics and semantics in the text. Ours is pioneering work in ordinance mining, and thus there is no prior labeled training data available for learning. This gap is filled by commonsense knowledge, a prudent choice in situations involving a lack of adequate training data. The ordinance mining can be beneficial to the public in fathoming policies and to officials in assessing policy effectiveness based on public reactions. This work contributes to smart governance, leveraging transparency in governing processes via public involvement. We focus significantly on ordinances contributing to smart cities, hence an important goal is to assess how well an urban region heads towards a smart city as per its policies mapping with smart city characteristics, and the corresponding public satisfaction.show moreshow less

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Author details:Manish Puri, Aparna S. VardeORCiD, Gerard de MeloORCiDGND
DOI:https://doi.org/10.1007/s10579-022-09584-6
ISSN:1574-020X
ISSN:1574-0218
Title of parent work (English):Language resources and evaluation
Publisher:Springer
Place of publishing:Dordrecht [u.a.]
Publication type:Article
Language:English
Date of first publication:2022/02/25
Publication year:2023
Release date:2024/05/13
Tag:Commonsense reasoning; Opinion mining; Ordinances; Smart cities; Social; Text mining; media
Volume:57
Number of pages:31
First page:733
Last Page:763
Funding institution:Graduate Teaching and Research Assistantship from the Computer Science; (CS) department at Montclair State University (MSU); NSF (USA) [2018575,; 2117308]
Organizational units:Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
1 Philosophie und Psychologie / 10 Philosophie / 100 Philosophie und Psychologie
Peer review:Referiert
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