A Literature Survey: Semantic Technology Approach in Machine Learning

Rachana, L.; Shridevi, S

doi:10.1007/978-981-15-7241-8_34

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…a) Accuracy of Semantic Extraction. Semantic extraction [37] has been quite successful in different contexts, such as computer vision (e.g., semantic segmentation), semantic computing and semantic web [38] (similar to knowledge graph) for recommendation systems to facilitate intelligent and high quality user experience [39]. SC presents challenges for accurate semantic extraction, particularly for the communication entities whose context may evolve individually, because all entities need to be strongly aligned semantic interpretation and representation.…”

Section: B Impeding Challenges In Scmentioning

confidence: 99%

Understand-Before-Talk (UBT): A Semantic Communication Approach to 6G Networks

Pokhrel

Choi

2023

IEEE Trans. Veh. Technol.

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In Shannon theory, semantic aspects of communi-• Technical (Level A): How correctly can the bits/packets be transmitted from the sender to the receiver? • Semantics (Level B): How accurately do the bits/packets carry the required meaning from the sender to the receiver? • Effectiveness (Level C): How well does the meaning transmitted (conveyed) influence the intended course of action at the receiver? At level A, semantic aspects of communication are assumed to be irrelevant to the technical engineering problems. Shannon noted "Frequently the messages have meaning; that is they refer to or are correlated according to some system with certain physical or conceptual entities. These semantic aspects of communication are irrelevant to the engineering problem" [1]. This is one of the fundamental assumptions of Shannon's theory. The relaxation of this fundamental assumption for communication between a sender and a receiver can jointly consider all three levels of problem, which can be referred to

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Section: B Impeding Challenges In Scmentioning

confidence: 99%

Understand-Before-Talk (UBT): A Semantic Communication Approach to 6G Networks

Pokhrel

Choi

2023

IEEE Trans. Veh. Technol.

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“…The term -semantic‖ is about understanding and making sense of words [24]. Semantic interoperability can be defined as the ability to exchange data in a meaningful way between two or more systems [25].…”

Section: Cloud Interoperabilitymentioning

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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“…In fact, SE is not a brand-new topic, but it has been evolving [133], [134]. Some comparable works have been explored in other research fields, such as semantic segmentation in computer vision, which is used to cluster parts of images together which belong to the same object class [135], semantic computing, which addresses the derivation and matching of the semantics of computational content and that of user intentions to retrieve, use, manipulate, or even create the content [136], and semantic web, which can be considered as a knowledge graph formed by combining the linked data with intelligent content and is widely used in recommendation systems to facilitate intelligent and integrated user experience [137], [138].…”

Section: A Accurate Sementioning

confidence: 99%

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges

Yang¹,

Du²,

Liew³

et al. 2022

Preprint

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With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission rate to a new architecture that is based on the intelligent connection of everything. Semantic communication (SemCom), a revolutionary architecture that integrates user as well as application requirements and meaning of information into the data processing and transmission, is predicted to become a new core paradigm in 6G. While SemCom is expected to progress beyond the classical Shannon paradigm, several obstacles need to be overcome on the way to a SemCom-enabled smart wireless Internet. In this paper, we first highlight the motivations and compelling reasons of SemCom in 6G. Then, we outline the major 6G visions and key enabler techniques which lay the foundation of SemCom. Meanwhile, we highlight some benefits of SemComempowered 6G and present a SemCom-native 6G network architecture. Next, we show the evolution of SemCom from its introduction to classical SemCom related theory and modern AIenabled SemCom. Following that, focusing on modern SemCom, we classify SemCom into three categories, i.e., semantic-oriented communication, goal-oriented communication, and semanticaware communication, and introduce three types of semantic metrics. We then discuss the applications, the challenges and technologies related to semantics and communication. Finally, we introduce future research opportunities. In a nutshell, this paper investigates the fundamentals of SemCom, its applications in 6G networks, and the existing challenges and open issues for further direction.

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A Literature Survey: Semantic Technology Approach in Machine Learning

Cited by 6 publications

References 16 publications

Understand-Before-Talk (UBT): A Semantic Communication Approach to 6G Networks

Understand-Before-Talk (UBT): A Semantic Communication Approach to 6G Networks

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

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges

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