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Object (B)logging: Semantic Self-Description for Cyber-Physical Systems
2017
International Web Rule Symposium
This paper proposes the object (b)logging framework, a novel general approach for the Semantic Web of Things. It allows associating semantic annotations to real-world objects and events as well as triggering complex objects interactions through advanced resource discovery. Machine learning algorithms are combined with non-standard reasoning services in order to produce a rich and meaningful semantic representation of events starting from a low-level statistical analysis of data gathered form
dblp:conf/ruleml/CapursoRSS17
fatcat:z3ioo7y4ize4tc6peogwqdzleq