This paper addresses the important problem of finding relevant information in the context of a business process. It presents a solution called EIL (Enterprise Information Leverage) which combines information extraction and semantic search techniques to support information needs of IT Services sales professionals. Structured and unstructured data is leveraged using a novel architecture and specialized search algorithms. EIL organizes information around business activities (e.g. a sale) and supports semantic conceptbased information retrieval by utilizing a combination of directed database queries and document searches where the relevant business activities act as a contextual constraint. Experiments show that this approach is effective for reducing noise in search results and for providing useful business context. Production rollout of EIL is currently underway within IBM.
By: Yu Deng, Murthy Devarakonda, Ruchi Mahindru, Nithya Rajamani, Norbert Vogl, Wlodek Zadrozny
Published in: RC24420 in 2008
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