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Semantic Search Points To Better Relevancy
ReadWriteWeb writes in to tell us about an article by Dr. Riza C. Berkan, founder and CEO of hakia.com, describing the promise of and potential for semantic search. This approach to providing more on-target search results contrasts with the dream of the semantic Web. Semantic search doesn't require all the Web page authors in the world to begin adding metadata; but it's not a sure thing that the researchers now developing the idea will get it right.
You're confusing the word "metadata" with the HTML tag . In this case (the semantic web) metadata would be in RDF. More clues here. What TFA is proposing is to semantically process and index websites content, rather than have the websites (or a third party) tag the content with RDF. What both of them are lacking is any kind of a universal ontology (or even standardized specialty ontologies).
No folly is more costly than the folly of intolerant idealism. - Winston Churchill
How do you propose enforcing any sort of universal or specialized ontology?
If I have a turd, and I add metadata to it that says its prure gold, it's still a turd; you have to trust me to trust my metadata. That's what the op is talking about, not the container.
Nerd rage is the funniest rage.
Some (if not all) of the concept relation semantics needed for doing "semantic search"
or "machine comprehension" of text on the web can be gleaned by
doing statistical analysis of the relationships between words and phrases
across the entire web. Aggregating across a large corpus eliminates "noise"
in usage and draws out the semantic "signal" about how people relate the
concepts to each other.
Where are we going and why are we in a handbasket?