Modeling and reasoning of IoT architecture in semantic ontology dimension

Chen, Guang; Jiang, Tongwen; Wang, Meng; Tang, Xinyu; Ji, Wenfei

doi:10.1016/j.comcom.2020.02.006

Cited by 34 publications

(13 citation statements)

References 4 publications

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“…MapSDI efficiently enriches massive, heterogeneous and potentially low-quality data with semantic information. Chen et al (2020) proposed a paradigm for modeling the IoT' realtime dynamic ontology semantic dimension architecture model. Chaves-Fraga et al (2019a) defined an applied method for the use and utilization of declarative mappings for the publication of open transport data from transportation authorities and operators into a transmodel ontology.…”

Section: Related Workmentioning

confidence: 99%

RML based ontology development approach in internet of things for healthcare domain

Ahamed

Mir

Chishti

2021

IJPCC

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Purpose A huge amount of diverse data is generated in the Internet of Things (IoT) because of heterogeneous devices like sensors, actuators, gateways and many more. Due to assorted nature of devices, interoperability remains a major challenge for IoT system developers. The purpose of this study is to use mapping techniques for converting relational database (RDB) to resource directory framework (RDF) for the development of ontology. Ontology helps in achieving semantic interoperability in application areas of IoT which results in shared/common understanding of the heterogeneous data generated by the diverse devices used in health-care domain. Design/methodology/approach To overcome the issue of semantic interoperability in healthcare domain, the authors developed an ontology for patients having cardio vascular diseases. Patients located at any place around the world can be diagnosed by Heart Experts located at another place by using this approach. This mechanism deals with the mapping of heterogeneous data into the RDF format in an integrated and interoperable manner. This approach is used to integrate the diverse data of heart patients needed for diagnosis with respect to cardio vascular diseases. This approach is also applicable in other fields where IoT is mostly used. Findings Experimental results showed that the RDF works better than the relational database for semantic interoperability in the IoT. This concept-based approach is better than key-based approach and reduces the computation time and storage of the data. Originality/value The proposed approach helps in overcoming the demerits of relational database like standardization, expressivity, provenance and supports SPARQL. Therefore, it helps to overcome the heterogeneity, thereby enabling the semantic interoperability in IoT.

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Section: Related Workmentioning

confidence: 99%

RML based ontology development approach in internet of things for healthcare domain

Ahamed

Mir

Chishti

2021

IJPCC

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“…Inference engines such as Pellet and Stardog are two interesting results that have arisen from the combination of tableaux algorithms, nominal absorption and nominal-based models. Through the application of additional optimisation techniques, the two possess incremental reasoning abilities invaluable in manufacturing, subject to knowledge flux (Mourtzis et al, 2016); where ontology web language (OWL) is used to document facts and full semantic web rule language (SWRL) is adopted to define reasoning rules (Chen et al, 2020). An expert system emerges as a result of integration of a mechanism with concept descriptions and rule-based statements (Wagner, 2017).…”

Section: Semantic Reasoning Algorithmsmentioning

confidence: 99%

Towards decentralised job shop scheduling as a web service

2021

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This paper aims to investigate the fundamental requirements for a cloudbased scheduling service for manufacturing, notably manufacturer priority to scheduling service, resolution of schedule conflict, and error-proof data entry. A flow chart of an inference-based system for manufacturing scheduling is proposed and a prototype was designed using semantic web technologies. An adapted version of the Muth and Thompson 10 × 10 scheduling problem (MT10) was used as a case study and two manufacturing companies represented our use cases. Using Microsoft Project, levelled manufacturer operation plans were generated. Semantic rules were proposed for constraints calculation, scheduling and verification. Pellet semantic reasoner was used to apply those rules onto the case study. The results include two main findings. First, our system effectively detected conflicts when subjected to four types of disturbances. Secondly, suggestions of conflict resolutions were effective when implemented albeit they were not efficient. Consequently, our two hypotheses were accepted which

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“…However, given the diversity and rapid IoT technological advances, it is challenging to reach an agreement on a single ontological standard for describing IoT services, and to maintain it. Regarding IoT semantic reasoning, similar approaches to those described in [21,8] may be used. The second technique uses the textual descriptions associated with IoT devices to locate the IoT services.…”

Section: Iot Services Discoverymentioning

confidence: 99%

An Internet of Things Service Roadmap

Bouguettaya

Sheng

Benatallah

et al. 2021

Preprint

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We propose a roadmap for leveraging the tremendous opportunities the Internet of Things (IoT) has to offer. We argue that the combination of the recent advances in service computing and IoT technology provide a unique framework for innovations not yet envisaged, as well as the emergence of yet-to-be-developed IoT applications. This roadmap covers: emerging novel IoT services, articulation of major research directions, and suggestion of a roadmap to guide the IoT and service computing community to address key IoT service challenges.

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Modeling and reasoning of IoT architecture in semantic ontology dimension

Cited by 34 publications

References 4 publications

RML based ontology development approach in internet of things for healthcare domain

RML based ontology development approach in internet of things for healthcare domain

Towards decentralised job shop scheduling as a web service

An Internet of Things Service Roadmap

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