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

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Author(s): Alexander Smirnov (SPIIRAS, Russia), Andrew Ponomarev (SPIIRAS, Russia), Nikolay Shilov (SPIIRAS, Russia), Alexey Kashevnik (SPIIRAS, Russia)and Nikolay Teslya (SPIIRAS, Russia)
Copyright: 2021
Pages: 21
Source title: Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9023-2.ch019

Keywords: Business & Management / Decision Support Systems / Information Science Reference

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Abstract

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

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