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?
You've heard all about the data science talent gap that McKinsey cited in 2011, but there's a lot more -- including new information -- that you need to know about McKinsey's ongoing research. Learn more Thursday on All Analytics Radio.
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