Towards an Internet of Agents model based on Linked Open Data approach

Pico-Valencia, Pablo; Holgado-Terriza, Juan A.; Senso, José A.

doi:10.1007/s10458-018-9399-7

Cited by 11 publications

(6 citation statements)

References 55 publications

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“…The prime benefits of LLOD are representation, interoperability, and expressivity. (Chiarcos et al, 2018;Pico-Valencia et al, 2019). SemiLD framework combines linked data and heterogeneous semistructured sources.…”

Section: Lod Enabled Rsmentioning

confidence: 99%

Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data

Subramaniyaswamy

Natarajan

Gandomi

2020

Expert Systems with Applications

181

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Section: Lod Enabled Rsmentioning

confidence: 99%

Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data

Subramaniyaswamy

Natarajan

Gandomi

2020

Expert Systems with Applications

181

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“…Every device is represented by one intelligent agent that is able to process the device's sensor data, interact with other agents, reason about its environment and make decisions on the control of the device's actuators. This architectural model is the Internet of Agents [33] or agent-based IoT [36] in literature. A combination of IoT and MAS requires the implementation of largescale MASs [37].…”

Section: Mas and The Internet Of Thingsmentioning

confidence: 99%

Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing

Dähling

Razik

Monti

2021

Auton Agent Multi-Agent Syst

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Multi-agent systems (MAS) represent a distributed computing paradigm well suited to tackle today’s challenges in the field of the Internet of Things (IoT). Both share many similarities such as the interconnection of distributed devices and their cooperation. The combination of MAS and IoT would allow the transfer of the experience gained in MAS research to the broader range of IoT applications. The key enabler for utilizing MAS in the IoT is the ability to build large-scale and fault-tolerant MASs since IoT concepts comprise possibly thousands or even millions of devices. However, well known multi-agent platforms (MAP), e. g., Java Agent DE-velopment Framework (JADE), are not able to deal with these challenges. To this aim, we present a cloud-native Multi-Agent Platform (cloneMAP) as a modern MAP based on cloud-computing techniques to enable scalability and fault-tolerance. A microservice architecture is used to implement it in a distributed way utilizing the open-source container orchestration system Kubernetes. Thereby, bottlenecks and single-points of failure are conceptually avoided. A comparison with JADE via relevant performance metrics indicates the massively improved scalability. Furthermore, the implementation of a large-scale use case verifies cloneMAP’s suitability for IoT applications. This leads to the conclusion that cloneMAP extends the range of possible MAS applications and enables the integration with IoT concepts.

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“…We mention, also, Ontologies-Based Models which have been recently used in a huge number of research works in the multiagent field. We cite as example Ma et al (2019), Pico-Valencia et al (2019) and Guo et al (2019).…”

Section: Analysis Of Open Mas Internal Propertiesmentioning

confidence: 99%

A generic model for representing openness in multi-agent systems

Hattab¹,

Chaari²

2021

The Knowledge Engineering Review

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Openness is a challenging property that may characterize multi-agent systems (MAS). It refers to their ability to deal with entities leaving and joining agent society over time. This property makes the MAS behaviour complex and difficult to study and analyze, hence the need for a representative model allowing its understanding. In this context, many models were defined in the literature and we propose to classify them into three categories: structural models, functional models and interactional models. The existing models were proposed either for representing structural openness or for modelling functional or interactional ones independently. But, none of them was oriented to represent MAS openness in a global way while considering its three aspects at once. Besides, each one was defined in order to realize a specific objective and in a particular domain of application. In this paper, we propose an evolving KAGR graph. The latter provides a common understanding of openness and unifies its structural, functional and interactional aspects in a generic way. Our model is finally tested and validated on a multi-agent rescue simulator.

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Towards an Internet of Agents model based on Linked Open Data approach

Cited by 11 publications

References 55 publications

Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data

Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data

Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing

A generic model for representing openness in multi-agent systems

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