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2022/08/02 · We present an entity tree embedding algorithm at the cloud end to convert IoT entities and attributes into embedding vectors in a tree-structured way.
To promote IoT data & semantic interoperability, we propose an edge-cloud framework. The edge end is responsible for handling customized data processing tasks ...
2023/02/06 · The edge end is responsible for handling customized data processing tasks and transferring the processed data, while the cloud end deals with.
文献「エッジボーイングクラウドフレームワークの下でのエンティティツリー埋込みに基づくIoTデータおよび意味論的相互運用性の強化【JST・京大機械翻訳】」の詳細情報 ...
2024/08/15 · Enhancing IoT Data and Semantic Interoperability Based on Entity Tree Embedding Under an Edge–Cloud Framework. Article. Jan 2022. Junyu Lu ...
Enhancing IoT Data and Semantic Interoperability Based on Entity Tree Embedding Under an Edge–Cloud Framework. Internet of Things (IoT) devices and services ...
This paper proposes a framework that considers both semantic and non-semantic data sources to process them for data interoperability in Web Objects enabled ...
TL;DR: In this paper , an entity tree embedding algorithm at the cloud end is proposed to convert IoT entities and attributes into embedding vectors in a tree- ...
Enhancing IoT Data and Semantic Interoperability Based on Entity Tree Embedding Under an Edge–Cloud Framework · Construction Method of Human Resource Management ...
Scalable and interoperable edge-based federated learning in ...
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In this work we leverage both MQTT and OMA LwM2M, thus adding to the scalability of MQTT the interoperability offered by the semantic-rich OMA LwM2M data model.