Improving Information Access for a Community of Practice Using Business Process as Context

@inproceedings{citeulike:2929174, abstract = {This paper addresses the important problem of finding relevant information in the context of a business process. It presents an information access solution called EIL (enterprise information leverage) which combines information extraction and semantic search to support information needs of professionals selling IT services. EIL leverages structured and unstructured data using novel architecture and special purpose algorithms. Our approach is to organize information around business activities (e.g. a sale), and the system supports semantic concept based information retrieval by utilizing both database query and document search where the relevant business activities act as a contextual constraint. We experimentally show that this approach is promising for reducing noise in search results. EIL is currently under pilot deployment in one of the IBM services sales units.}, author = {Deng, Yu and Devarakonda, M. and Rajamani, N. and Zadrozny, W. }, booktitle = {Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on}, citeulike-article-id = {2929174}, doi = {http://dx.doi.org/10.1109/ICDE.2008.4497615}, journal = {Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on}, keywords = {context, information\_retrieval}, pages = {1537--1539}, posted-at = {2008-06-26 18:20:19}, priority = {5}, title = {Improving Information Access for a Community of Practice Using Business Process as Context}, url = {http://dx.doi.org/10.1109/ICDE.2008.4497615}, year = {2008} }

TY - CONF ID - citeulike:2929174 L3 - citeulike-article-id:2929174 N2 - This paper addresses the important problem of finding relevant information in the context of a business process. It presents an information access solution called EIL (enterprise information leverage) which combines information extraction and semantic search to support information needs of professionals selling IT services. EIL leverages structured and unstructured data using novel architecture and special purpose algorithms. Our approach is to organize information around business activities (e.g. a sale), and the system supports semantic concept based information retrieval by utilizing both database query and document search where the relevant business activities act as a contextual constraint. We experimentally show that this approach is promising for reducing noise in search results. EIL is currently under pilot deployment in one of the IBM services sales units. JF - Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on EP - 1539 TI - Improving Information Access for a Community of Practice Using Business Process as Context T2 - Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on SP - 1537 KW - context KW - information_retrieval AU - Deng, Yu AU - Devarakonda, M AU - Rajamani, N AU - Zadrozny, W PY - 2008/// UR - http://dx.doi.org/10.1109/ICDE.2008.4497615 ER -