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?
HIPAA is supposed to protect the privacy of your medical information, but the sale of anonymized medical data and advances in analytics have made it possible for organizations to re-link your name to your private records.
Visual analytics tools, can enable non-statistician citizen data scientist to create models that use predictive or prescriptive analytics. These professionals can embed their business knowledge into the models they're testing, prototyping, or building.