Following the recent launch of Microsoft's Bing, along with products such as Wolfram Alpha, another search engine has entered the market, hoping to take on Google by delivering what it calls 'human-like' results. Yebol.com launched last week, and uses semantic-search technology to deliver categorised results.
At launch, Yebol can provide categorised results for more than 10 million search terms. According to the company it intends to provide results for 'every conceivable search term' in the next three to six months.
Yebol uses a combination of algorithms and human knowledge to build a revolutionary web directory for each search term. The Yebol engine clusters search results into groups of term-specific categories.
According to Yebol's press release, the search engine offers related topics with categories. it claims that the Yebol engine is more abstract, introducing top sites and categories. Yebol also promises inside links and insider topics for each web page, expanded searches, images and videos.
See also: Wolfram Alpha 'could rival Google'
"Yebol will break people free from laundry-list based search, without sacrificing quantity of content," said Grant Landis, Yebol Director of Communications.
"Yebol will let people get the info they need faster, more accurately and more comprehensively than is possible on other search engines. Every facet of people's internet experience will benefit."
"The technology behind Yebol's search is both scalable and accurate -- two features required by new search technology to sustain over time -- and possesses the flexibility to adapt to new demands," said Hongfeng Yin, founder and CEO of Yebol.
"Yebol's knowledge base currently has over 10 million of the most relevant search topics. This is just a starting point of semantic search.
"Our technology and approaches are able to provide knowledge results not only for all present search topics but also for search topics that will develop in the future as they come into existence."
This story, "Another Semantic Search Engine Enters Fray" was originally published by PC Advisor (UK).