Ontology-Driven Human-Computer Cloud for Decision Support

The paper discusses a novel cloud architecture that unifies different types of resources (hardware, software and human) and leverages them for decision support. One of the distinctive features of the proposed cloud architecture is extensive use of ontological models and ontology-driven inference techniques. This paper describes some of the core ontological models used in human computer cloud and the ways they are used to deliver value for all stakeholders of the human-computer cloud environment. Tourism is among application domains that may especially benefit from this human-computer cloud as today's tourism applications heavily rely both on human and computer information processing and standardization of this processing via cloud interfaces will greatly simplify the creation of tourism decision support services.