Smart City Gnosys
Smart city article details
| Title | From Smart City To Smart Society: A Quality-Of-Life Ontological Model For Problem Detection From User-Generated Content |
|---|---|
| ID_Doc | 27287 |
| Authors | Periñán-Pascual C. |
| Year | 2023 |
| Published | Applied Ontology, 18, 3 |
| DOI | http://dx.doi.org/10.3233/AO-230281 |
| Abstract | Social-media platforms have become a global phenomenon of communication, where users publish content in text, images, video, audio or a combination of them to convey opinions, report facts that are happening or show current situations of interest. Smart-city applications can benefit from social media and digital participatory platforms when citizens become active social sensors of the problems that occur in their communities. Indeed, systems that analyse and interpret user-generated content can extract actionable information from the digital world to improve citizens' quality of life. This article aims to model the knowledge required for automatic problem detection to reproduce citizens' awareness of problems from the analysis of text-based user-generated content items. Therefore, this research focuses on two primary goals. On the one hand, we present the underpinnings of the ontological model that categorises the types of problems affecting citizens' quality of life in society. In this regard, this study contributes significantly to developing an ontology based on the social-sensing paradigm to support the advance of smart societies. On the other hand, we describe the architecture of the text-processing module that relies on such an ontology to perform problem detection, which involves the tasks of topic categorisation and keyword recognition. © 2023 - IOS Press. All rights reserved. |
| Author Keywords | ontology; problem detection; recognition; text classification; User-generated content |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
35891  | 0.877 | Hodorog A.; Petri I.; Rezgui Y. | Machine Learning And Natural Language Processing Of Social Media Data For Event Detection In Smart Cities | Sustainable Cities and Society, 85 (2022) |
| 52017 | 0.86 | Doran, D; Severin, K; Gokhale, S; Dagnino, A | Social Media Enabled Human Sensing For Smart Cities | AI COMMUNICATIONS, 29, 1 (2016) |
| 52025 | 0.859 | Lytras M.D.; Visvizi A.; Jussila J. | Social Media Mining For Smart Cities And Smart Villages Research | Soft Computing, 24, 15 (2020) |
| 4720 | 0.858 | Currin A.; Flowerday S.; de la Rey E.; van der Schyff K.; Foster G. | A Smart City Qualitative Data Analysis Model: Participatory Crowdsourcing Of Public Safety Reports In South Africa | Electronic Journal of Information Systems in Developing Countries, 88, 6 (2022) |
| 33427 | 0.857 | Kousis A.; Tjortjis C. | Investigating The Key Aspects Of A Smart City Through Topic Modeling And Thematic Analysis | Future Internet, 16, 1 (2024) |
| 58298 | 0.856 | Lee J.; Song J. | Towards Semantic Smart Cities: A Study On The Conceptualization And Implementation Of Semantic Context Inference Systems | Sensors, 23, 23 (2023) |
| 53083 | 0.854 | Derksen G.; Michura P.; Ruecker S. | Stories And Conversations In The Smart City | Smart Cities as Democratic Ecologies (2015) |