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?
Don't forget the human element -- people who will consume data and put it into action -- in an analytics initiative. Chris Mazzei, global chief analytics officer at Ernst & Young, joins All Analytics Radio to share best practices in understanding from the start of a project how the resulting data might address business problems, change people's jobs, and change how customers interact with an organization.