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Has semantic communication been applied to earth observation datasets? 


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Semantic communication has been applied to Earth Observation (EO) datasets. The use of ontologies and web semantic technologies has shown success in knowledge representation in the field of EO . Researchers have proposed semantic models and ontologies for the consolidation, integration, reasoning, and linking of EO data and metadata . A semantic querying framework has been developed, where users query EO data cubes through an ontology, reducing the technical barriers for extracting valuable information from EO data . A semantic data integration process has been proposed to transfer pixel values of rasters into meaningful features, facilitating the interpretation of EO data . Semantic information discovery methods, based on data mining techniques, have been used to extract latent semantic information from high-resolution EO data . These studies demonstrate the application of semantic communication in EO datasets for knowledge representation, data integration, querying, and information extraction.

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Semantic communication has been applied to earth observation datasets in the form of semantic information discovery methods based on data mining techniques such as latent Dirichlet allocation and bag of visual words models.
The paper discusses the use of ontologies and web semantic technologies in the field of Earth Observation remote sensing, but it does not explicitly mention the application of semantic communication to Earth Observation datasets.
The paper discusses the use of ontologies and web semantic technologies in the field of Earth Observation remote sensing, but it does not explicitly mention the application of semantic communication to Earth Observation datasets.
The paper proposes a semantic querying framework for earth observation data cubes, which allows users to query the data through an ontology. However, it does not explicitly mention the application of semantic communication to earth observation datasets.
The paper discusses the use of semantic technologies for the interpretation of Earth Observation (EO) data, but it does not explicitly mention the application of semantic communication to EO datasets.

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