Yahoo! Open Search Update
The is a continuation of an earlier post I made that introduces the new Yahoo! Open Search system.
Yesterday, the Yahoo Blog was updated with some more info on how the Yahoo! Open Search system works with a nice example to illustrate what they mean.
Amit Kumar, Director of Product Management at Yahoo! Search published a nice article showing how Yahoo! can bring much more relevancy to the search user with an example relating to his LinkedIn profile. Have a look at what the new Yahoo! listing of Amit’s LinkedIn listing will look like once Yahoo! releases their open search platform:
Pretty nifty hey!? This is a very simple example of course of how Yahoo!’s open search approach will work but it demonstrates an important point: That the listing’s will be filled with very relevant data directly from the LinkedIn database! (and not from what the yahoo’s algorithm thinks needs to be there … which is the difference with Google Links seen on the google search engine for very few sites and only really in the top number one listing position).
The system is supported by a number of semantic web standards. By supporting semantic web standards, Yahoo! Search and site owners can bring a far richer and more useful search experience to consumers.
Quote from Yahoo! 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.
Read the full Yahoo! post here.
