Having touched on Semantic Search in general terms, this post explores it in a bit more detail. Having watched a series of webcasts from Semantic Universe on the tools of Web 3.0, I have been on the lookout for interesting semantic applications that shed more light on the power of Web 3.0. From my subscription

My prior musings on search tools started from a discussion on how keyword searching has reached its limits. Courts and lawyers are struggling with the immense amount of information involved in discovery and hoping for more cost effective ways of finding relevant case information without breaking the bank.

The effort to improve search goes well

No, this isn’t about turning Twitter into an online dating service.  This is about finding that special “business” contact on Twitter by using Twellow to help guide you in the right direction.  Why Twellow??  Because it indexes the biographical information that Twitter users and allows you to find people by who they say they are.  

I’ve previously noted that keyword searching has seen better days. Numerous recent e-discovery court cases and KM blogs provide worthy critiques of keyword searching as an inadequate way of retrieving knowledge.

Recently I have taken a more in-depth view of the next-generation of search, known as concept, natural language or semantic search. The basic goal

Search Engine Optimization is a constant game of cat and mouse between the Search Engine companies and the webmasters of the world.  Seems like last week, one of the biggies on the webmaster side got caught by the biggie on the search engine side, and in the process, I learned a new industry phrase called

I’ve always had this dream that when you die, you get a statistical profile of your life when you arrive at the Pearly Gates. St. Peter hands you a notebook (although recently he hands me an Amazon Kindle), with all the things you’ve done while you were alive. How many times did your heart