Slashdot Mirror
Using the Semantic Web to Enhance Search
RobMcCool writes "At Stanford KSL, we really like the Semantic Web. So we've taken many of our favorite web sites, scraped them, and put together a huge pile of RDF, which we'll let you download. We've used that RDF to create a search application, in the spirit of Google Q & A or Microsofts recently announced MSN Search extensions. Our search can answer simple factual queries like the previously discussed population of Portugal but can also answer some more complex ones. We also have a smart autocomplete system, type "tom hanks birth" slowly to see it in action (best with Firefox). We're looking for people to be a part of this search system by running their own search sites, and by putting their data on the Semantic Web. Come check it out!"
Semantic-driven search engines have awesome potential. However, it does place a lot of demand on the content provider to provide metadata-rich content - or to be able to provide intelligent mining tools to create metadata from existing sites.
This is definitely one to watch...
Autocomplete is a useless feature that nobody wants to see when the type "a"...and see it load everything that beings with "a". The user is not interested in items starting with "a". Perhas they're interested in terms beging with "anon" or something, which has many fewer items to load, therefore making the load time much faster and not annoying the user in the process.
Or, even better, never have any autocomplete turned on automatically. Do a VB-like idea, where if you want to see possibilities at a certain point, hit a specific key that will register for the list to pop down.