Back in the old days – or the ’90s as some call them – we utilized the Internet as an information resource. What’s that phone number, where is that address, where can I buy that product – you had concrete questions and were no longer required to speak to a human to get answers. Sure, there were bulletin boards and Usenet forums for discussion but they primarily involved coding arguments and game walkthroughs. The Internet wasn’t truly upended into a community, and all that that entails, until just a couple of years ago. It was then that the inundation of bloggers collided with social networking and lifestreaming to produce a perfect storm of content. (And when I say lifestreaming, I mean the trend of putting as many pieces of our life online as possible – books we’re reading, music we like, etc.) We’ve now backed ourselves into a corner online, raging against the indundation of content even as we scroll through our fifth page of FriendFeed updates. We recommend well-written articles about navigating through the noise, right after sharing 25 items in Google Reader.
The logical next step in this technological journey is to therefore prune, to make our time online more meaningful and relevent, no matter how small the nugget of information. Whether I’m setting out to qualify findings in a drug discovery experiment or wondering when Amy Winehouse was last arrested, I want the most reliable, relevant answer in the shortest amount of time. The problem is no longer whether the information is out there but rather how we can get to it quickly and accurately.
It’s against this background that I’m seeing a gradual evolution of the semantic search market. Read the rest of this entry »