7 Search Evolutions for '07

WebKnowHow
Friday, December 15, 2006; 05:08 AM

According to the pundits, search is searching for new meaning and relevancy. According to Dr. Riza C. Berkan, CEO of hakia, a new meaning-based search engine and a nuclear scientist by training with a specialization in artificial intelligence and fuzzy logic, here are seven evolutionary changes coming for ‘07:

   1. The first time a search engine will have an alternative to indexing; new technology like QDEXing will be developed.

   2. The first time ontological semantics will be used that will enable a search engine to perceive concepts beyond words and retrieve results with meaningful equivalents.

   3. The first time that search results will include highlighted best sentences as a result of semantic analysis rather than bolded keywords as a result of finding incidences.

   4. The first time that a single query will bring a gallery of results equivalent to running multiple queries about the meaningful variations of the same topic.

   5. The first time a search engine will let users evaluate answers on the spot by displaying uninterrupted and coherent text snippets, often letting searchers forgo having to click through to links and saving time.

   6. The first time a search engine will have a dialogue utility that will help point out best answers or suggest a Gallery for a more engaging human-like search experience.

   7. The first time a search engine's data will grow by detection of new knowledge rather than by detection of new pages. Search engine growth by knowledge will be the new direction for the industry for 2007.

According to Dr. Berkan, “2007 will be the year that search users see first-hand that the search industry is in its infancy. Significant improvements will make this apparent. However, heavy users of search already understand that the average search takes 11 minutes and 50 percent of searches are abandoned.”

Dr. Riza C. Berkan, Founder, Chief Executive Officer and Member of the Board of Directors

Founder of hakia, Dr. Berkan is a nuclear scientist by training with a specialization in artificial intelligence and fuzzy logic. He is the author of several articles in this area, including the book Fuzzy Systems Design Principles published by IEEE in 1997. Between 1990 and 2000, Dr. Berkan worked as a subcontractor to the US Government and handled multiple Lockheed Martin Energy Systems and Westinghouse projects involving the Y-12 Plant, Savannah River Plant, and Los Alamos National Laboratory. Dr. Berkan holds a B.S. in Physics from Hacettepe University, Turkey and an M.S. and Ph.D. in Nuclear Engineering from the University of Tennessee with a specialization in Artificial Intelligence.

About hakia

hakia has developed the Web’s first meaning-based search engine, utilizing a radically new infrastructure designed to deliver the most relevant search results. Founded in 2004, the company is privately held and based in New York City. Go to http://www.hakia.com.