Keio University Chooses IBM Search Software to Drive Research Data Discoveries

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ARMONK, NY - 20 Jul 2007: IBM (NYSE: IBM) today announced that Keio University, Japan's oldest private university, has selected IBM enterprise search software to make it easier to intuitively search and access the university's global collection of research information.

Keio University's Research Institute for Digital Media and Content is relying upon IBM OmniFind Enterprise Edition as the search engine, indexing system and common interface for a project that is digitizing documents, research findings and other works amassed in the university's collections to make them available on demand. The project will bring together research information stored in different formats and systems that is currently difficult to find and access.

The IBM solution, which is based on text analytics technology from the open source Unstructured Information Management Architecture (UIMA), enables users to search a broad range of information sources such as databases, university Web sites, file systems and content management systems all from a single interface. The new system provides Keio University with a flexible framework that can address the complex relationship of information across the university and help researchers quickly find what they are looking for.

"Working with IBM, we are creating an intuitive research environment that simplifies the sharing and access of information and provides it in context to open new possibilities for understanding," said Jun Murai, Ph.D., vice president and chief operating officer, Research Institute for Digital Media and Content, Keio University. "We expect the IBM solution will have a dramatic impact on our university by assisting researchers in uncovering complex information relationships and helping them gain new insight which ultimately can lead to new discoveries."

Keio University researchers can use the IBM search software to extract concepts, facts and relationships from existing content. It also assists users in finding relevant information, even when a user does not have expert knowledge in a particular field or may not know the correct search term to use. Natural language capability allows users to search for keywords within documents to easily locate relevant materials. The new system also provides access to many different types of content including books, documents, database entries, photographs, graphics and videos.

"We needed a system that could analyze content across interdisciplinary fields and that was flexible enough to support users of all ages and backgrounds," says Keiko Shimazu, associate professor with Keio University's Research Institute for Digital Media and Content. "OmniFind Enterprise Edition allows people outside of Keio University to access pertinent information regardless of its location. In this way, we can help them quickly mine the expertise we've gained to assist them in creating new intellectual content."

IBM OminFind Enterprise Edition is an enterprise search platform that analyzes and indexes information stored throughout an organization, and allows users to quickly and securely search intranet portals, databases, public Web sites and file systems to obtain highly relevant results. It also includes the ability to plug in advanced information extraction capabilities through UIMA, an open source framework for building advanced search and text analytics applications, enabling users to search for facts and concepts within the underlying content.

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