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 SAS Global Forum and Executive Conference will have analytics professionals discussing and learning about the inner workings of technology but also how data analytics can help their companies and the world run better.
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