Chapter 8. Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing over RDF, and More
While the previous chapters attempted to provide an overview of some popular websites from the social web, this chapter connects that discussion with a highly pragmatic discussion about the semantic web. Think of the semantic web as a version of the Web much like the one that you are already experiencing, except that it has evolved to the point that machines are routinely extracting vast amounts of information that they are able to reason over and making automated decisions based upon that information.
The semantic web is a topic worthy of a book in itself, and this chapter is not intended to be any kind of proper technical discussion about it. Rather, it is framed as a technically oriented “cocktail discussion” and attempts to connect the highly pragmatic social web with the more grandiose vision for a semantic web. It is considerably more hypothetical than the chapters before it, but there is still some important technology covered in this chapter.
One of the primary topics that you’ll learn about in this chapter from a practitioner’s standpoint is microformats, a relatively simple technique for embedding unambiguous structured data in web pages that machines can rather trivially parse out and use for various kinds of automated reasoning. As you’re about to learn, microformats are an exciting and active chapter in the Web’s evolution and are being actively pursued by the IndieWeb ...
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