I can't afford to spend the time creating a search engine for my site so it would be great to have a structural search engine. In particular, I'm very interested in this structural data approach - I really just need a way to handle searching "objects" and this seems like a great way to do it.
Right now you can use BOSS to get regular web search results and mix them in with you own results on your side.
I'm not sure about when vertical search will be available though. I'll follow up with some people here. I'm happy to email people who are interested when I have an update. You can email me at email@example.com once you fix the obviously silly pirate reference.
I've updated the grandparent to make more sense though.
I was so tickled when I found out we own the misspelling yarhoo.com and point it at yahoo.com
Ah well... I'm going to have another go for next year. I was thinking that yarhoo.com could be a pirate translation of your homepage.
I didn't even notice the misspelling.
Assuming BOSS Custom has a way to feed results to the Yahoo crawler, this should become the best way to a simple site search.
For example, if I am selling houses I want to be able to have additional information about # of bedrooms, # of bathrooms, and so forth that can easily be included in search.
Essentially the crawler will discover Microformats or RDFa on a site to use in the index. The current suggested vocabularies are Dublin Core, FOAF, VCard, VCal, Review, SIOC, Good Relations, DBPedia and Freebase (http://developer.yahoo.com/searchmonkey/smguide/profile_voca...).
Searchmonkeys use these to visually enhance listing but I'm sure there will be other structured data use in the future, and that the technologies used in BOSS vertical search are in the same family as those used in Searchmonkey.
Maybe not so much.
The latest version of the WebMynd extension lets you personalize your Google searches with the information sources that you most value. So we've set up a version that shows TechCrunch results by default, but you can also get results from Hacker News, YouTube, Flickr, Wikipedia and many others (including YC startups).