{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T15:01:58Z","timestamp":1784646118934,"version":"3.55.0"},"reference-count":30,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T00:00:00Z","timestamp":1700784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Smart cities provide integrated management and operation of urban data emerging within a city, supplying the infrastructure for smart city services and resolving various urban challenges. Nevertheless, cities continue to grapple with substantial issues, such as contagious diseases and terrorism, that pose severe financial and human risks. These problems sporadically arise in various locales, and current smart city frameworks lack the capability to autonomously identify and address these issues. The challenge intensifies especially when trying to recognize and respond to unprecedented problems. The primary objective of this research is to predict potential urban issues and support their resolution proactively. To achieve this, our system makes use of semantic reasoning to understand the ongoing situations within the city. In this process, the 5W1H principles serve as inference rules, guiding the extraction and consolidation of context. Firstly, utilizing domain-specific annotation templates, we craft a semantic graph by amalgamating information from various sources available in the city, such as municipal public data and IoT platforms. Subsequently, the system autonomously infers and accumulates contexts of situations occurring in the city using 5W1H-based reasoning. As a result, the accumulated contexts allow for inferring potential urban problems by identifying repeated disruptions in city services at specific times or locations and establishing connections among them. The main contribution of this paper lies in proposing a comprehensive conceptual model for the suggested system and presenting actual implementation cases and applicable use cases. These contributions facilitate awareness among city administrators and citizens within a smart city regarding potential problem-prone areas or times, thereby aiding in the preemptive identification and mitigation of urban challenges.<\/jats:p>","DOI":"10.3390\/s23239392","type":"journal-article","created":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T11:19:46Z","timestamp":1700824786000},"page":"9392","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Towards Semantic Smart Cities: A Study on the Conceptualization and Implementation of Semantic Context Inference Systems"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4604-1767","authenticated-orcid":false,"given":"Jieun","family":"Lee","sequence":"first","affiliation":[{"name":"Depatment of Convergence Engineering for Intelligent Drone, Sejong University, Gwangjin-gu, Seoul 05006, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2157-9651","authenticated-orcid":false,"given":"JaeSeung","family":"Song","sequence":"additional","affiliation":[{"name":"Depatment of Convergence Engineering for Intelligent Drone, Sejong University, Gwangjin-gu, Seoul 05006, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,24]]},"reference":[{"key":"ref_1","unstructured":"Zhou, Y., and Kankanhalli, A. (2021). Smart Cities and Smart Governance, Springer."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"107080","DOI":"10.1016\/j.cie.2020.107080","article-title":"Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms","volume":"153","author":"Martins","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"ref_3","unstructured":"Brutti, A., Sabbata, P.D., Frascella, A., Gessa, N., Ianniello, R., Novelli, C., Pizzuti, S., and Ponti, G. (2019). The Internet of Things for Smart Urban Ecosystems, Springer."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"e5289","DOI":"10.1002\/cpe.5289","article-title":"A multilevel graph approach for rainfall forecasting: A preliminary study case on London area","volume":"32","author":"Clarizia","year":"2020","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Moral-Garc\u00eda, S., Castellano, J.G., Mantas, C.J., Montella, A., and Abell\u00e1n, J. (2019). Decision tree ensemble method for analyzing traffic accidents of novice drivers in urban areas. Entropy, 21.","DOI":"10.3390\/e21040360"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.aci.2017.08.001","article-title":"CAMeOnto: Context awareness meta ontology modeling","volume":"14","author":"Aguilar","year":"2018","journal-title":"Appl. Comput. Inform."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5734","DOI":"10.1021\/acs.jcim.1c01285","article-title":"COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug\u2013Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19","volume":"61","author":"Korn","year":"2021","journal-title":"J. Chem. Inf. Model."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"D\u2019Aniello, G., Gaeta, M., Orciuoli, F., Sansonetti, G., and Sorgente, F. (2020). Knowledge-based smart city service system. Electronics, 9.","DOI":"10.3390\/electronics9060965"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1080\/0163853X.2016.1150652","article-title":"Semantic knowledge use in discourse: Influence of age","volume":"54","author":"Kintz","year":"2017","journal-title":"Discourse Process."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"9","DOI":"10.5573\/IEIESPC.2023.12.1.9","article-title":"SEIF: A Semantic-enabled IoT Service Framework for Realizing Interoperable Data and Knowledge Retrieval","volume":"12","author":"Lee","year":"2023","journal-title":"IEIE Trans. Smart Process. Comput."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1016\/j.ijinfomgt.2016.05.002","article-title":"The role of big data in smart city","volume":"36","author":"Hashem","year":"2016","journal-title":"Int. J. Inf. Manag."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MIC.2015.130","article-title":"Smart cities\u2019 data: Challenges and opportunities for semantic technologies","volume":"19","author":"Davies","year":"2015","journal-title":"IEEE Internet Comput."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Jeong, S., Kim, S., and Kim, J. (2020). City data hub: Implementation of standard-based smart city data platform for interoperability. Sensors, 20.","DOI":"10.3390\/s20237000"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1145\/1041410.1041421","article-title":"Semantic integration: A survey of ontology-based approaches","volume":"33","author":"Noy","year":"2004","journal-title":"ACM Sigmod Rec."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Dou, D., Wang, H., and Liu, H. (2015, January 7\u20139). Semantic data mining: A survey of ontology-based approaches. Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015), Anaheim, CA, USA.","DOI":"10.1109\/ICOSC.2015.7050814"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Pesquita, C., Ferreira, J.D., Couto, F.M., and Silva, M.J. (2014). The epidemiology ontology: An ontology for the semantic annotation of epidemiological resources. J. Biomed. Semant., 5.","DOI":"10.1186\/2041-1480-5-4"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Egami, S., Kawamura, T., and Ohsuga, A. Building urban LOD for solving illegally parked bicycles in Tokyo. Proceedings of the Semantic Web\u2013ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, 17\u201321 October 2016, Proceedings, Part II 15.","DOI":"10.1007\/978-3-319-46547-0_28"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"baac035","DOI":"10.1093\/database\/baac035","article-title":"A simple standard for sharing ontological mappings (SSSOM)","volume":"2022","author":"Matentzoglu","year":"2022","journal-title":"Database"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"104332","DOI":"10.1016\/j.ijmedinf.2020.104332","article-title":"PCLiON: An ontology for data standardization and sharing of prostate cancer associated lifestyles","volume":"145","author":"Chen","year":"2021","journal-title":"Int. J. Med. Inform."},{"key":"ref_20","first-page":"8","article-title":"Ontology meta-model for building a situational picture of catastrophic events","volume":"Volume 1","author":"Little","year":"2005","journal-title":"Proceedings of the 2005 7th International Conference on Information Fusion"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Lickly, B., Shelton, C., Latronico, E., and Lee, E.A. (2011, January 9\u201314). A practical ontology framework for static model analysis. Proceedings of the Ninth ACM International Conference on Embedded Software, Taipei, Taiwan.","DOI":"10.1145\/2038642.2038648"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"An, J., Kumar, S., Lee, J., Jeong, S., and Song, J. (2020, January 2\u201316). Synapse: Towards linked data for smart cities using a semantic annotation framework. Proceedings of the 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA.","DOI":"10.1109\/WF-IoT48130.2020.9221242"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Garcia, E., Peyman, M., Serrat, C., and Xhafa, F. (2023). Join Operation for Semantic Data Enrichment of Asynchronous Time Series Data. Axioms, 12.","DOI":"10.3390\/axioms12040349"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3330","DOI":"10.1111\/tgis.13005","article-title":"Street-level traffic flow and context sensing analysis through semantic integration of multisource geospatial data","volume":"26","author":"Zhang","year":"2022","journal-title":"Trans. GIS"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"8447","DOI":"10.1109\/JIOT.2019.2918327","article-title":"Automatic knowledge extraction to build semantic web of things applications","volume":"6","author":"Noura","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"4117","DOI":"10.1080\/00207543.2021.2022803","article-title":"Semantic-aware event link reasoning over industrial knowledge graph embedding time series data","volume":"61","author":"Zhou","year":"2023","journal-title":"Int. J. Prod. Res."},{"key":"ref_27","unstructured":"Biondi, G., Franzoni, V., and Poggioni, V. (2017). Proceedings of the ICCSA 2017: 17th International Conference, Trieste, Italy, 3\u20136 July 2017, Springer. Proceedings, Part III 17."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"13853","DOI":"10.1007\/s11042-017-4997-y","article-title":"Extracting semantic knowledge from web context for multimedia IR: A taxonomy, survey and challenges","volume":"77","author":"Bracamonte","year":"2018","journal-title":"Multimed. Tools Appl."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Daniele, L., den Hartog, F., and Roes, J. Created in close interaction with the industry: The smart appliances reference (SAREF) ontology. Proceedings of the Formal Ontologies Meet Industry: 7th International Workshop, FOMI 2015, Berlin, Germany, 5 August 2015, Proceedings 7.","DOI":"10.1007\/978-3-319-21545-7_9"},{"key":"ref_30","unstructured":"Lefran\u00e7ois, M. (2017, January 11\u201314). Planned ETSI SAREF extensions based on the W3C&OGC SOSA\/SSN-compatible SEAS ontology paaerns. Proceedings of the Workshop on Semantic Interoperability and Standardization in the IoT, SIS-IoT, Amsterdam, The Netherlands. 11p."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/23\/9392\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:29:47Z","timestamp":1760131787000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/23\/9392"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,24]]},"references-count":30,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["s23239392"],"URL":"https:\/\/doi.org\/10.3390\/s23239392","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,24]]}}}