| SenseBot - Semantic Search Engine |
SenseBot is a semantic search engine that generates a text summary of multiple Web pages on the topic of your search query.
SenseBot parses top ten results from the Web and prepares a text summary on the topic of your query.
The summary blends together the most significant and relevant aspects of the search results.
Try SenseBot and learn more about the approach - just click the product link on the left.
You can also download a Firefox browser add-on that integrates SenseBot with Google search results page.
See the "Product Verticals" below where the technology is most promising. |
| Enterprise or Webmaster version | SenseBot can be installed within your enterprise or Web portal. You can point it to the files in your local repository or domain, in addition to Web sources. Click the product link to contact us for details. |
| LinkSensor |
LinkSensor analyzes text of an article or blog post on the fly and highlights key concepts in the text.
When the user's mouse goes over the concept, a balloon pops up, suggesting to visit articles or pages relevant to the highlighted concept.
This approach increases user engagement by navigating to explore more relevant content of the main site or sister sites.
As a result, the publisher can get higher page views.
In addition, the publisher may choose to display contextual ads in the balloon and get additional advertising revenue. Click the product link on the left to try. |
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* NEW! * Semantic API |
We have released Semantic API and deployed it in Amazon computing cloud. You can call it to add semantics to your own applications. Click the link to go to the API page for more information and sign-up. |
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SenseBot 360 - a Web snapshot |
An all-around Web snapshot on a person, company or event. Processes Web sources, news sites, blogs, and discussion groups. Can include Web sites predefined by you. Click the product link to contact us for the demo. |
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As with any semantic technology, the best results can be achieved in vertical content areas, where the user intent is narrowed, and a set of pages or documents is more homogenous.
We are currently focusing on the following content verticals:
• Financial news and research: giving a scoop on what is happening in a particular area of the economy, on the market, in a given sector, etc. • Competitive intelligence: analyzing a set of documents on a competitor, or an area that is targeted by a number of competitors. • Medical information: providing a digest on a medical condition or symptoms. • Legal information: providing a digest on a legal situation or a development of a legal concept. • Education: automatically generating an overview of a particular area of knowledge or study; preparing draft essay on a subject. • Libraries: search and research applications for librarians and library patrons. |
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