What if a search engine knew who your friends were and delivered results based on their actions and content across the Web? Today at the DEMO conference, an Israeli startup called Delver (formerly Semingo) is coming out of stealth and announcing its upcoming launch as a semantic social graph search engine.
Delver is attempting to solve two key search-related problems. The first is that current search engines do not take into account the identity of the searcher. For example, a teenager and a senior citizen performing the same query will get exactly the same results. The second is that current search engines do not allow users to search for information created and referenced by their own social graph. This is an important point because, let’s face it, social networking doesn’t offer much functional value beyond allowing people to connect with one another. The fact that you have 300 friends on Facebook, 200 on MySpace and 100 connections on LinkedIn doesn’t actually help you locate information. This is where Delver comes in. Search for “New York,” and the results that will pop up will be blog posts from people you know that mention or are about New York, or Flickr photos, YouTube videos, Delicious bookmarks, and the like.