Microsoft Case Study – Bridging the Gap Between Language and Science
On January 8, 2015, Microsoft published a new, Customer Solution Case Study about Deep Web Technologies’ innovative search technology developed in collaboration with the WorldWideScience Alliance. Using the Microsoft Translation services, the search application WorldWideScience.org allows users to search in their native language, find results from sources around the world, and read the results translated back into their language. In light of the enormous strides made each year in the global scientific community where timely dissemination of the vast published knowledge is critical, WorldWideScience.org increases access to many important databases and encourages international collaboration.
The WorldWideScience Alliance turned to Abe Lederman, Chief Executive Officer and Chief Technology Officer of Deep Web Technologies, to realize its vision of a better, more automated solution with multilingual support. “We wanted to create an application that would make scholarly material more accessible worldwide to both English and non-English speakers,” he says. “For instance, we wanted a French-speaking user to be able to type in a query and find documents written in any language.”
The Case Study, posted to the Microsoft “Customer Stories” page, comes on the heels of a WorldWideScience.org update in 2014, improving the application look and feel and speed. Additionally, 2015 holds a bright future as the study mentions: “To provide better accessibility, WorldWideScience.org also offers a mobile interface. Deep Web Technologies is launching a streamlined HTML5 version that will work with virtually any device, whether PC, phone, or tablet. Other future enhancements include a localization feature that will provide search portals in the user’s native language.”
In response to the Case Study, Olivier Fontana, Director of Product Marketing for Microsoft Translator said, “Microsoft Translator can help customers better reach their internal and external stakeholders across languages. By building on the proven, customizable and scalable Translator API, Deep Web Technologies has developed a solution that has a direct impact on researcher’s ability to learn and exchange with their peers around the world, thereby improving their own research impact.” The Microsoft Translator Team Blog has followed up on the Case Study here.
Oh, and one more thing…WorldWideScience.org is not the only Deep Web Technologies’ multilingual application. WorldWideEnergy translates energy related content into four languages and the United Nations Economic Commission for Africa will be rolling out a multilingual search in 2015.
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