Search technology/science has a long way to go. For instance, can Google show you all Kenyan bank managers under 30 years? 90% of search results don't hit their target! Is this good for search engines? Yes. Think about how search engines get paid. They don';t get any money when you get what you want from your natural search results. They get paid when you don't get what you want from your search results, but you see something interesting above or on the side and click on that. Key-word-based search engines use many sophisticated tricks to index the web, but they can only point you to web pages, and those web pages may have had the information on them at one point, or they may have similar keywords on them, or they may have nothing of interest. It is up to you to look at those pages and decide for yourself. In contrast, semantic search promises to be much more productive. In semantic search, you give a query and get an answer. If you are looking for something to buy, you specify your order and see the offers. However, new technologies come with challenges. In my opinion the greatest challenge to semantic search is that companies that sell keywords today may not want to see their business models crushed by the sledgehammer of the semantic web. They are not sure how to get ad revenues from the deep web or from searches that are too accurate. They may avoid the semantic web not because they can't see it coming but precisely because they can see it coming and can't monetize it as effectively as the keyword-driven searches of today. On Sun, Jan 30, 2011 at 10:44 AM, Dennis Kioko <dmbuvi@gmail.com> wrote:
Actually seems bekko gives more practical oriented results, especially on how to do something.
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