Autonomy Corporation plc, a global leader in infrastructure software for the enterprise, recently announced that the Library of Chinese Academy of Sciences (LCAS), a key institution providing the backbone to China's scientific and technical advancement, has selected Autonomy's Intelligent Data Operating Layer (IDOL) to automate information operations including the retrieval, delivery and routing of content from a wide range of sources for the scientific community.

LCAS chose Autonomy's IDOL platform to supply an internal intelligent information infrastructure backbone for users working across multiple internal information sources in disparate locations in order to provide a single repository and gateway for all users. As a modern national science library responsible for over 5 million documents as well as integrating programs of service, research and education, it is vital that LCAS has the infrastructure to allow all users rapid access to pertinent information crucial to scientific advancement. Their decision follows an extensive strategic evaluation of technologies available.

Important to LCAS' decision was Autonomy's unique ability to form an understanding of the content and context of any piece of data in any language, independent of format, including voice or video, and then provide dynamic hyperlinks to related material straight to users' desktops in real-time. Autonomy's automatic agent profiling, which establishes and promotes areas of interest and expertise and advanced retrieval functions significantly reduce time spent searching for information enabling users to focus on development and innovation.

Autonomy provides vital support to the Chinese scientific community by providing a single point of access to enable all users to obtain the information they require. Intuitive, intelligent technology, which understands both users and information working either in English or Chinese, accelerates development by automatically delivering relevant content. Autonomy adds value to the traditional role of the librarian by automating labor intensive processes of classifying, analyzing, archiving and retrieving an enormous corpus of crucial information.

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