Semantic Overflow is great largely because it benefits from the good design and implementation of the StackExchange framework. Could our site be be improved with Semantic Web technology?

It’s not just an academic question. Recently the community Q&A site Training Examples got quite a bit of visibility as a site

“Where data geeks ask and answer questions on machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data visualization!”

If you visit the site you will see that it closely follows the Stack Overflow design, complete with tags, reputation, badges, etc. It uses QSQA, which is free software licensed under GPL and implemented in Python using Django. Site creator Joseph Turian has mentioned a a desire to improve the site by applying machine learning and language processing techniques to its content.

So, how could Semantic Web technology be used to improve our own Q&A site? Add your suggestions here.