In an upcoming talk I will be continuing a theme I started at Allen Press, calling for more semantic enrichment of scientific information online (I am of course, only one of many making such calls).
It is therefore timely to see Yahoo offering an open platform for harvesting and returning semantically-enhanced search.
There was a pre-announcement on TechCrunch, followed by the official word on the Yahoo Search Blog
In the coming weeks, we'll be releasing more detailed specifications that will describe our support of semantic web standards. Initially, we plan to support a number of microformats, including hCard, hCalendar, hReview, hAtom, and XFN. Yahoo! Search will work with the web community to evolve the vocabulary framework for embedding structured data. For starters, we plan to support vocabulary components from Dublin Core, Creative Commons, FOAF, GeoRSS, MediaRSS, and others based on feedback. And, we will support RDFa and eRDF markup to embed these into existing HTML pages. Finally, we are announcing support for the OpenSearch specification, with extensions for structured queries to deep web data sources.
Yahoo Search Blog - The Yahoo! Search Open Ecosystem - March 13, 2008
You can sign up for more information at
http://tools.search.yahoo.com/newsearch/open.html
So what would an appropriate set of semantic information be for a scientific article, what would your ideal search display include? # of citations? Impact Factor? Chemical and gene sequences? Price? (Sometimes information wants to be expensive...) How much can we fit into a couple of lines that will help to select one article over another in results?
UPDATE: And Yahoo is just one player in this space, as Paul Miller indicates in his posting Looking for a dominant Semantic Web search engine.
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