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Press Release: Deep Web Technologies [April 16, 2008]

Stanford and Deep Web Technologies Partner on Federated Search

April 16, 2008 (Santa Fe, NM) Stanford University Libraries has selected Deep Web Technologies to create a federated search solution that will simplify access to the Libraries’ vast online resources and create a new access point for the university’s own digitized content. Federated search is a technology that allows multiple information sources – including deep web databases – to be searched simultaneously, so users can scan the breadth of library collections in a single query. Stanford has three demonstrations of the Deep Web Technologies’ solution in place so that faculty and students can test them and provide feedback.

"The digital revolution and the explosion in the number of relevant online resources are fantastic opportunities, but also a great challenge," said Michael Keller, University Librarian. "We chose Deep Web Technologies so that we can reduce the amount of time students and faculty spend searching, and make it easier for them to find precisely relevant information on multidisciplinary research topics."

Deep Web Technologies is best known for its work in creating tailored, sophisticated federated search solutions for clients whose credibility relies on delivery of precise, accurate results. The Stanford Libraries’ site uses Deep Web’s Explorit Research Accelerator technology, so that users can access in real time the Libraries’ digital content, including third-party databases, the free web and Stanford’s proprietary information. Future enhancements to the service could expand the search to include content in ebooks and reference resources as well as other web content such as wikis and blogs.

"Stanford’s project is very complex and it needs a federated search solution that’s flexible enough to connect fully to a huge variety of information sources," said Abe Lederman, Deep Web Technologies founder and Chief Technology Officer. "That’s our great strength. We build solutions from the ground up, so there are no search gaps and our clients can feel confident about the integrity of the results they’re delivering to their users."

Deep Web Technologies built its reputation for precise federated search software in such high-profile scientific projects as science.gov, worldwidescience.org and scitopia.org, as well as in work with high-technology firms such as Intel. To learn more about Deep Web Technologies, visit the company at deepwebtech.com. To explore Stanford Libraries’ use of federated search, visit http://library.stanford.edu/rapids/fedsearch.html .

About Deep Web Technologies

Deep Web Technologies (www.deepwebtech.com) creates custom, sophisticated federated search solutions for clients who demand precise, accurate results. Founded by industry thought-leader Abe Lederman, Deep Web Technologies created the powerful Explorit Research Accelerator, software that searches, retrieves, aggregates and analyzes content from deep web databases – data that is inaccessible to general search engines. Serving Fortune 500 companies, the Science.gov Alliance, the U.S. Department of Energy, the Defense Technical Information Center, scitopia.org and a variety of research and library alliances, Deep Web Technologies has built a reputation as the "researcher’s choice" for its advanced, agile information discovery tools.

Deep Web Technologies is based in Santa Fe, New Mexico, where it has earned four Flying 40 Awards as one of the fastest growing high-tech companies.


Summary: Stanford University Libraries has selected Deep Web Technologies to create a federated search solution that will simplify access to the Libraries’ vast online resources and create a new access point for the university’s own digitized content.
Publication Year:2008
Type of Material:Press Release
LanguageEnglish
Date Issued:April 16, 2008
Publisher:Deep Web Technologies
Company:
Company: Deep Web Technologies
Libraries: Stanford University
Permalink: https://librarytechnology.org/pr/13222

LTG Bibliography Record number: 13222. Created: 2008-04-16 12:48:09; Last Modified: 2012-12-29 13:06:47.