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Ontology-Based Semantic Interoperability Support in Human-Machine Collective Intelligence Systems
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
dblp:conf/bir/SmirnovS19
fatcat:ov6s5cl5mff5djmceyh4c2aeba