Kngine is a new semantic web search engine and question answering engine that was launched from Egypt, aiming to provide more meaningful search results to users.
Unlike other regular search engines that focus more on the ranking of pages to serve search results to users, Kngine attempts to understand what the user is searching for exactly or what question they are asking, and then tries to come up with the best information, answers and results it can find.
This is done by analyzing the entered keywords to discover the relationships between them, linking the different found data together and then displaying united sets of related information from around the web.
The kinds of information and details provided by the search engine, along with the search results listings, are: Semantic information about the keywords/concepts, direct answers to the entered questions, comparisons between entered keywords/concepts, and possible links between different types of data such as movies, subtitles, photos, store prices, user reviews and more.
Kngine, which stands for Knowledge Engine, currently contains over 1 billion of pieces of data, and features about more than 7 million concepts; 70,000+ companies, 700,000+ movies, 1,100,000+ personalties, 450,000+ locations, 150,000+ books, and more. The interface is currently only available in English.
Even though the product is still in beta, it already shows promise in the way it searches, analyzes and returns relevant results; and we expect it to get even better with time as more work is put into its engine.
The search engine was launched from Cairo, Egypt, and founded by Haytham A. Abd ElFadeel, a Computer Science researcher, focused mainly on the semantic web and search, as well as parallel and distributed computing.
According to the founder, the long-term goal for Kngine is to make all human beings systematic knowledge and experience accessible to everyone; collecting and organizing all objective data, and making it easily accessible to everyone.
