Semantic search is meant to advance what search engine optimization started to do; match language usage for search for infromation with machine language - the code used to structure the information sought. Developing a shared ontology makes the understanding more transparent and can probably help big data analyst imaging how internet-based media is being used. This can at least strike analysts imagination for how to model effectively when internet content is a factor.
Hi Pierre, I won't pretend to know too much about the semantic web and how best to organize it, but the collaborative effort you describe between Schema.org and GoodRelations seems like a good, evolutionary initiative. Can you explain more of how this can benefit in the world of big-data?
The Interop IoT Summit highlighted why it's time to break our image of the Internet of Things into multiple small chunks, so we don't confuse consumer IoT with what goes on at industrial sites and in the commercial world.
It's time to start asking ourselves questions about the role of technology -- particularly intelligent machines like robots -- in our lives and our jobs, including how we can evaluate the performance of our machines.