Yebol uses AWS to develop semantic search engine

Customer Apps>Amazon S3>Yebol uses AWS to develop semantic search engine
Yebol is building human-like world's knowledge base and provide knowledge based search (semantics) and services. Yebol believes that cloud computing is the biggest revolution in computing platform since the invention of the PC. Yebol builds entire infrastructure of research, development and web services on Amazon cloud computing system. This allows Yebol to focus on developing technology and services without worrying too much about infrastructure. Yebol has indexed, analyzed and extracted over a billion web pages and generated 10 million topics of knowledge base. Amazon EC2 provides Yebol infrastructure potential as giant search engine companies like Google, Yahoo, Bing.


Company: Yebol
Inquiry e-mail address:
Amazon Web Services Used: Amazon S3
Solution URL:
Audience: Consumers
Pricing: Free of charge
How does this application use Amazon Web Services?: Yebol use Amazon EC2, S3 and EBS for all infrastructure
Created On: July 15, 2009 12:14 AM GMT
Last Updated: July 23, 2009 5:25 PM GMT
Our mission:
Yebol's mission is to build a human-like world knowledge base and provide knowledge based search (semantics) and services.

Our service:
Yebol utilizes a combination of patented algorithms paired with human knowledge to build a Web directory for each query and each user. Instead of the common "listing" of Web search queries, Yebol automatically clusters and categorizes search terms, Web sites, pages and contents.

Yebol allows for a multi-dimensional search result instead of the normal one-dimensional search seen by most web search engines today. This provides a more accurate summary of top sites and categories; a wider array of related search terms; a longer and richer expansion for query results; and a deeper base of links and keywords in search result pages.

Unlike current search platforms, Yebol provides hundreds of easily identified and accessibly categorized results in one easily navigable page. Our results not only provide users with a rich search experience, but also help them quickly scan the results to find targeted information. In essence, we generate a unique "homepage look" for each search query.

Yebol provides a productive experience for both main types of search — general investigation of a topic and specific target search. For users who want to research and explore a topic, Yebol provides rich information from several dimensions. For users who want a specific type of targeted results, they can quickly focus on their category and navigate to the target.

Our company:
Yebol was founded by Hongfeng Yin, Ph.D., who has more than 20 years research and development experience on artificial intelligence, pattern recognition, data mining and search. Most recently, Yin worked for more than four years at Yahoo! Data Mining Research team, where he built the core behavioral targeting technologies, products and more than a thousand models, which generate multi-hundred millions revenue.

Using the Amazon cloud computing services, we have built a knowledge base for about 10 million concepts over 1 billion web pages. Our technologies are scalable to build a knowledge base of 100 million concepts over 10 billion web pages in the next phase.
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