Synapse : Towards Linked Data for Smart Cities using a Semantic Annotation Framework

An, JongGwan; Kumar, Sunil; Lee, Jieun; Jeong, SeungMyeong; Song, JaeSeung

doi:10.1109/wf-iot48130.2020.9221242

Cited by 8 publications

(5 citation statements)

References 11 publications

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“…The difficulty of capturing the nuanced and evolving nature of real-world relationships in a static ontological model presents a constant challenge [20,21]. Moreover, the extensive effort required to annotate data manually for ontology-based systems is a limitation that ongoing research aims to address through automation [22].…”

Section: Semantic Acquisitionmentioning

confidence: 99%

“…SeCIS undergoes a four-step construction process to provide semantic context extraction services: ontology construction, semantic graph creation, rulebased semantic reasoning, and inference service provision. Firstly, it constructs a smart city common ontology defined by the data hub [13,22]. In the semantic graph creation step, the semantic graph is generated based on ontology templates.…”

Section: System Procedures and Technologies Of Secismentioning

confidence: 99%

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Towards Semantic Smart Cities: A Study on the Conceptualization and Implementation of Semantic Context Inference Systems

Lee,

Song

2023

Sensors

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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.

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Section: Semantic Acquisitionmentioning

confidence: 99%

Section: System Procedures and Technologies Of Secismentioning

confidence: 99%

Towards Semantic Smart Cities: A Study on the Conceptualization and Implementation of Semantic Context Inference Systems

Lee,

Song

2023

Sensors

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“…Abid et al [31] repurposed existing ontologies to develop a defect detection system capable of publishing user complaints of city problems such as water leaks and broken street lights as linked data to aid in the administration of smart cities. Synapse [32] is a semantic web-based annotation system designed to enhance the metadata for all data in smart cities. Some famous applications such as Demand Response (DR) in residential energy systems are also benefited from many semantic enrichment studies [33,34].…”

Section: Related Workmentioning

confidence: 99%

A semantic web approach to uplift decentralized household energy data

Orlandi

AlSkaif

et al. 2022

Sustainable Energy, Grids and Networks

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“…Fundamental features such as a semantic annotator to populate RDF (Resource Definition Framework) triple stores were implemented. For the annotator, smart city common ontology was defined and extensions were also made for domain-specific ontologies (i.e., the parking service PoC) [48]. In addition to the traditional approach, in future plans, such as including a semantic validator and reasoner, we aim to build a graph database adaptor for NGSI-LD.…”

Section: Remaining Workmentioning

confidence: 99%

City Data Hub: Implementation of Standard-Based Smart City Data Platform for Interoperability

Jeong

Kim

2020

Sensors

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Like what happened to the Internet of Things (IoT), smart cities have become abundant in our lives as well. One of the smart city definitions commonly used is that smart cities solve city problems to enhance citizens’ life quality and make cities sustainable. From the perspective of information and communication technologies (ICT), we think this can be done by collecting and analyzing data to generate insights. The City Data Hub, which is a standard-based city data platform that has been developed, and a couple of problem-solving examples have been demonstrated. The key elements for smart city platforms have been chosen and they have been included in the core architecture principles and implemented as a platform. It has been proven that standard application programming interfaces (APIs) and common data models with data marketplaces, which are the keys, increase interoperability and guarantee ecosystem extensibility.

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Synapse : Towards Linked Data for Smart Cities using a Semantic Annotation Framework

Cited by 8 publications

References 11 publications

Towards Semantic Smart Cities: A Study on the Conceptualization and Implementation of Semantic Context Inference Systems

Towards Semantic Smart Cities: A Study on the Conceptualization and Implementation of Semantic Context Inference Systems

A semantic web approach to uplift decentralized household energy data

City Data Hub: Implementation of Standard-Based Smart City Data Platform for Interoperability

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