Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Rejeb, Abderahman; Keogh, John G.; Martindale, Wayne; Dooley, Damion; Smart, Edward; Simske, Steve; Wamba, Samuel Fosso; Breslin, John G.; Bandara, Kosala Yapa; Thakur, Subhasis; Liu, Kelly; Crowley, Bridgette; Desaraju, Sowmya; Ospina, Angela; Bradau, Horia

doi:10.3390/fi14060161

Cited by 11 publications

(5 citation statements)

References 174 publications

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“…Each innovation facilitates the creation of future innovations, creating dynamic iterative tiers as new technological paradigms manifest. This means innovations are developing new knowledge and vocabularies that we need to interact with more seamlessly so that they can be utilised [ 1 ] .…”

Section: What Is Innovation?mentioning

confidence: 99%

Educating for Innovation

2023

Food Sci and Tech

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Section: What Is Innovation?mentioning

confidence: 99%

Educating for Innovation

2023

Food Sci and Tech

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“…Current literature agrees that ontologies are the core element of semantic solutions [36,26,37,38]. An ontology reflects domain knowledge, where the ontology classes are typically depicted using graphical models, as models are considered to have explicit semantics [39].…”

Section: B Semantic Technologiesmentioning

confidence: 99%

Towards a Reference Architecture for Semantic Interoperability in Multi-Cloud Platforms

Hamdan,

Admodisastro

2023

IJACSA

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This paper focuses on semantic interoperability as one of the most significant issues in multi-cloud platforms. Organizations and individuals that adopt the multi-cloud strategy often use various cloud services and platforms. On top of that, cloud service providers may offer a range of services with unique data formats, structures, and semantics. Hence, semantic interoperability is required to enable applications and services to understand and use data consistently, regardless of the cloud service providers. The main goal of this study is to propose a reference architecture for semantic interoperability in multicloud platforms. Towards achieving the main goal, this paper presents two main contributions. First contribution is an extended cloud computing interoperability taxonomy, with semantic approach as one of the solutions for facilitating semantic cloud interoperability. Two fundamental semantic approaches have been identified, namely semantic technologies and frameworks which will be adopted as the main building blocks. Semantic technologies, such as ontologies, can be used to represent the semantics or meanings of data. Data may be reliably represented across multiple cloud platforms by employing a common ontology. This promotes semantic interoperability by ensuring that data is interpreted and processed uniformly within diverse cloud platforms. On the other hand, a framework offers a standardized and organized way for managing, exchanging, and representing data and services. For the second contribution of this paper, a review of recent (2018-2023) related works has been conducted by investigating the state-of-the-art of semantic interoperability in multi-cloud platforms. As a result, the proposed solution will be implemented in the context of a reference architecture. The reference architecture will act as a blueprint to systematically represent semantic interoperability in multi-cloud platforms using a hybrid approach of role-based and layer-based. Additionally, a semantic layer will be extended to the reference architecture to facilitate semantic interoperability.

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“…Someone unfamiliar with the workings of the Semantic Web may find this curious: why is the Semantic Web not taking care of such basic metadata? Another concern, a technical one, is the question of the interoperability of the Semantic Web [3].…”

Section: Introductionmentioning

confidence: 99%

Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations

Haralambous

Lenca

2023

Future Internet

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Motivated by the distinction between semantics and pragmatics as sub-disciplines of linguistics, shortly after Tim Berners-Lee introduced the Semantic Web in 2001, there have been works on its extension to the “pragmatic level”. Twenty years later, the Semantic Web is more popular than ever, while little has been achieved in extending it into a Pragmatic Web. Social representations introduced by Serge Moscovici in the 1960s seem totally ignored by the information technology community even though they are strongly related to research on opinion mining and representation in social media. We, thus, recall the major results of academic research on the Pragmatic Web, followed by our proposal for an Implicit Pragmatic Web inspired by various sub-domains of the discipline of pragmatics. We further recall the basics of the social representations theory and discuss their potential implementations in a Web of Social Representations and thus their potential contribution towards at least a part of the future internet.

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Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Cited by 11 publications

References 174 publications

Educating for Innovation

Educating for Innovation

Towards a Reference Architecture for Semantic Interoperability in Multi-Cloud Platforms

Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations

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