Deep Web Technologies Developing Multilingual Translator for Federated Search

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Santa Fe, NM, September 3, 2009 — Deep Web Technologies is proud to announce development of a prototype of a multilingual translation capability for clients using its federated search applications. An early prototype of multilingual searching was demonstrated to the members of the WorldWideScience Alliance in June of 2009. This new feature, when fully developed and implemented, will translate a user’s search query into the native language of the collections being searched, will translate result titles and snippets back to the user’s original language and aggregate and rank these results according to relevance. The translation process will be seamless, making it simple to search collections in multiple languages from a single search box in the native language of the user.

“I’m very excited about this new multilingual translation capability. It will break down the language barrier for researchers in many countries, promoting global information discovery,” said Abe Lederman, President and CTO of Deep Web Technologies. “This will be particularly helpful in the areas of science, technology, government, and intelligence, where information may lie in hard-to-reach, non-English deep web collections.”

While many countries have a wealth of research content in local collections, much of this information has not been translated to other languages. Deep Web Technologies’ multilingual translation capability will augment the Explorit Research Accelerator(TM) federated search engine, allowing users to search multiple collections from different countries and languages simultaneously. The current prototype provides for searches of collections in English, Spanish, German, French, Portuguese, Russian and Chinese where the user selects the language desired for the results, which are aggregated, deduped, ranked and clustered in the selected language.

Deep Web Technologies’ Explorit Research Accelerator(TM) next generation federated search engine is focused on making the deep web accessible to all. It allows for comprehensive searching of many small, often unknown scientific, technical, government and subscription-based collections, as well as popular collections, all at the same time. Explorit displays results in an easy-to-follow, aggregated list, all from a single search request, providing researchers fast, efficient and comprehensive information discovery. Mainstream search engines, such as Google, Yahoo! and bing, which rank results on popularity instead of relevance, aren’t as strong for information discovery purposes.

“I foresee this multilingual translation capability as a major tool to speed the discovery process and disseminate critical scientific and technical discoveries, as well as time-sensitive government data,” mentioned Lederman. “Imagine finding relevant thesis and dissertations, journal articles and research reports from Chinese or Russian collections with a single, English-based search query.”

Deep Web Technologies is further improving its multilingual search capability and exploring with a number of our partners implementation of this capability on federated search-based portals such as ScienceResearch.com, WorldWideScience.org and the Defense Technical Information Center’s (DTIC) MultiSearch Portal.

About Deep Web Technologies

Deep Web Technologies (http://www.deepwebtech.com) creates custom, sophisticated federated search solutions for clients who demand precise, accurate results. The tool of choice when needing to access the deep web, federated search performs real-time, parallel searches of multiple information sources, merging the results into one page. Serving Fortune 500 companies, the Science.gov Alliance (http://www.science.gov), the U.S. Dept. of Energy, the Dept. of Defense, Scitopia.org (http://www.scitopia.org), Nutrition.gov, WorldWideScience Alliance (http://www.worldwidescience.org) and a variety of other customers and partners, Deep Web Technologies has built a reputation as the “researcher’s choice” for its advanced, agile information discovery tools.

Other press releases from Deep Web Technologies Inc.

• Stanford University Launches xSearch, a Multidisciplinary Search Tool Based on Deep Web Technologies’ Software - March 18th, 2010
• SwetsWise Searcher Improves Its Federated Search Performance With Deep Web Technologies - February 11th, 2010
• Deep Web Technologies Named to EContent 100 - December 15th, 2009
• Second Annual Federated Search Blog Contest Offers Bigger Cash Prizes - December 2nd, 2009
• Deep Web Technologies Announces Poster Presentation at ASIS&T Annual Conference - November 9th, 2009
• Andy Alsop Joins Deep Web Technologies as Vice President of Business Development - September 10th, 2009
• Deep Web Technologies-Powered Federated Search Engine Science.gov Takes Government to Next Level - August 4th, 2009
• Deep Web Technologies' Federated Search Now Integrates with RefWorks Online - July 28th, 2009
• ScienceResearch.com Debuts as the World’s Most Comprehensive Deep Web Science Search Engine - June 15th, 2009
• Deep Web Technologies Chosen to Speak on the Future of Scientific Discovery at Special Libraries Association (SLA) Centennial Conference - June 12th, 2009

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