Ontology-Based Human-Computer Cloud for Decision Support: Architecture and Applications in Tourism

Ontology-Based Human-Computer Cloud for Decision Support: Architecture and Applications in Tourism

Alexander Smirnov (SPIIRAS, Russia), Andrew Ponomarev (SPIIRAS, Russia), Nikolay Shilov (SPIIRAS, Russia), Alexey Kashevnik (SPIIRAS, Russia) and Nikolay Teslya (SPIIRAS, Russia)
DOI: 10.4018/IJERTCS.2018010101


A variety of information processing and decision support tasks (especially in the context of smart city or smart tourist destination) rely both on the automated and human-based procedures. The article proposes a multi-layer cloud environment that, first, unifies various kinds of resources used by these information processing and decision-support scenarios (hardware, software, and human), and second, implements an ontology-based automatic service composition procedures that can be used to build ad hoc decision-support services for problems unknown in advance. The service composition is based on uniform description of all parts of the environment with a help of ontologies. The article describes the architecture and models of the novel human-computer cloud environment. It also describes several scenarios of decision support in tourism leveraging the proposed human-computer cloud concept.
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Cloud computing technology has become a de facto standard in elastic hardware and software resources provisioning, as it has established a convenient way to abstract computational resources needed by an application and to dynamically adjust the needed amount of resource. National Institute of Standards and Technology (NIST) recommendations document (Mell & Grance, 2011) describes three service models that have formed in the area of cloud computing:

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