The question is really moot because it pits communication against utility. The fact is that search engines are a tool for finding information while social networks are a means of communication. Sure, people might use certain social networks as a way to find information, however, it is highly unlikely that social networks will ever become the main means of doing so.

This is the case mostly because social networks are designed to help people connect with like-minded individuals and (for now) do not have the capability to search the web for authoritative and/or non-biased information. If you want a recommendation on a particular product or service, you can tap your network for the opinions of people you’re connected to. Depending on the types of people in your network, these may or may not be scientific observations.

Where do you go for scientific observations? You have to dig a little deeper and often the first place people will go for authoritative, more objective information, is to a search engine. Search engines index a larger capacity of web information and have algorithms to separate the wheat from the chaff.

Facebook may be looking to bridge this gap with its new Open-Graph search engine, with its own set of SEO standards, analysts expect to spark a “full scale” search engine war. Facebook’s new social semantic search will filter information, not just based on SEO but by relevance to the searcher as well.

It looks like Google’s status as the king of search is being challenged on all fronts and with Facebook already being the most trafficked site in the world, it will be interesting to see who will come out on top.

Will social semantic search be the next evolution of search? Time will tell.

If you’ve read his work, you’ve likely picked out some themes. One that holds particular resonance is this idea that most believe that if you’ve got a search problem, the traditional answer is to throw hardware at it. Having a database performance issue? Throw hardware at it. Having scalability issues? Hardware. Not getting the queries per second you need? I think you get the idea.

Throwing hardware at the problem may be great for the companies selling the hardware, but from licensing to energy costs more hardware means more cost, and folks these days are a bit more cautious when it comes to pulling the trigger. As one client recently said, “People are buying cheaper, not better. . . “‘

Enter Perfect Search. Using patented algorithms and methodologies Perfect Search clients are able to actually reduce the amount of hardware required to support search and we’ve never delivered a solution that produced less than a 5 to 1 search server reduction. In most cases the server replacement ratio is actually higher. Add to that the fact that the technology produces superior query precision, blazing index and query speeds, and all at an attractive price point and Perfect Search starts to look very appealing.

Given the above, it’s no wonder that folks like Stephen Arnold and the team over at Arnold IT are fans. We’re pretty excited too.