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Smart environments integrates various types of technologies, including cloudcomputing, fog computing, and the IoT paradigm. In such environments, it isessential to organize and manage efficiently the broad and complex set ofheterogeneous resources. For this reason, resources classification andcategorization becomes a vital issue in the control system. In this paper wemake an exhaustive literature survey about the various computing systems andarchitectures which defines any type of ontology in the context of smartenvironments, considering both, authors that explicitly propose resourcescategorization and authors that implicitly propose some resourcesclassification as part of their system architecture. As part of this researchsurvey, we have built a table that summarizes all research works considered,and which provides a compact and graphical snapshot of the currentclassification trends. The goal and primary motivation of this literaturesurvey has been to understand the current state of the art and identify thegaps between the different computing paradigms involved in smart environmentscenarios. As a result, we have found that it is essential to consider togetherseveral computing paradigms and technologies, and that there is not, yet, anyresearch work that integrates a merged resources classification, taxonomy orontology required in such heterogeneous scenarios.

A Literature Survey on Ontology of Different Computing Platforms in Smart Environments