The Architecture for Ontology-supported Multi-context Reasoning (AOMR) systems is appropriately designed with respect to the design principles associated with the mentioned smart systems and Industry 4.0: interoperability, virtualization, decentralization, real-time capability, service orientation, and modularity.
Our architecture uses a two level hierarchy with three agents and can incorporate and utilize multiple contexts. It is flexible, supporting an interface between ...
This research proposes a novel algorithm which executes the total variance regularization, probabilistic clustering, and the alternating direction method of ...
Journal: Data & Knowledge Engineering, 2022, p. 102044 ; Publisher: Elsevier BV ; Authors: Andrew LeClair, Jason Jaskolka, Wendy MacCaull, Ridha Khedri.
In this paper, we propose an architecture for an ontology-supported multi-context reasoning system which inherently supports a number of desired system ...
Modern smart systems such as those needed for Industry 4.0 integrate data from various sources and increasingly require that data be contextualized with ...
Jun 1, 2022 · Our #DKE paper "#Architecture for #ontology-supported multi-context reasoning systems" is now available online: https://t.co/1lpIBurGjZ ...
This paper describes an architecture based on a multi-dimensional ontology model to represent mobile user contexts, Web services and application domains.
Many approaches have been proposed to deal with Context. Aware Services (CAS), but most only offer weak support for knowledge sharing and context reasoning.
Architecture for ontology-supported multi-context reasoning systems. 140:102044-102044. 2022; eMarketplaces for enterprise and cross enterprise integration ...