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This document discusses Pachube, a platform that connects physical and virtual sensors and devices using EEML (Extended Environments Markup Language) schema to aggregate data from around the world and connect physical environments to online services and applications. Pachube aims to connect sensors globally using this common data format and API to build applications that integrate real-world data.

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http://www.pachube.com

“Patching the World….”

Somewhere Somewhere else
(Physical/Virtual) (Physical/Virtual)

EEML (Extended Environments Mark-up Language) Schema

Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

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