Google made public today the Knowledge Graph revamp of their search results, essentially the semantic search I wrote about before. I had a brief conversation at Internet Week NYC today about the idea of semantic search and I believe that it still needs some work. Google is shifting away from a strictly keyword-based model of search to a more human version of finding information. While the concept of making search more intuitive or adjust better to the way people use language, it has some draw backs.
About.com Director of Research, Laura Salant noted at Internet Week on Wednesday some significant research findings on how people use search. She noted that 50% of searches are “answer me” which she explained as “what is the capital of Washington”. 25 percent of searches are “inspire me” oriented those that fulfill a passion or a hobby. Finally, she noted 25 percent of searches are “educate me” which, for example, could be the answer to an ongoing health issue.
Many people using Google to search for an answer or item tend to type in keywords because that’s what we’ve grown accustom to. People searching for questions or long-tail keywords typically find what they’re looking for or it could be a question they’re embarrassed to ask their friends on a social media platform.
Another draw back is that Google will be providing the basic information within is search results page, making the need to click-through to a website disappear. Of course, Google is only providing basic information but it looks eerily similar to that right-hand bar on Wikipedia.
For now, this still seems as though it’s a neat tool for a 5th grade book report. Until Google finds a way to integrate social and enrich the Knowledge Graph to go beyond basic stats, it will only have a limited capabilities.




