Ontology-Based Semantic Interoperability Support in Human-Machine Collective Intelligence Systems

Alexander V. Smirnov, Nikolay Shilov
2019 Business Informatics Research  
Human-machine collective intelligence systems for decision support are distributed systems involving multiple heterogeneous participants usually represented by services. In order for such systems to function efficiently, the participants have to intensively collaborate, what requires interoperability support. Besides, this support also has to consider auxiliary system elements such as user task description, negotiation protocol, etc. The paper performs a state of the art analysis in the areas
more » ... cloud and service-oriented systems and concludes that multi-aspect ontologies that preserve internal aspect ontologies would be the most suitable solution. An example of multi-aspect ontology is presented for a collective intelligence decision support system for the smart city domain.
dblp:conf/bir/SmirnovS19 fatcat:ov6s5cl5mff5djmceyh4c2aeba