Improving information access for a community of practice using business process as context

Yu Deng, Murthy Devarakonda, Nithya Rajamani, Wlodek Zadrozny

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages1537-1539
Number of pages3
DOIs
StatePublished - Oct 1 2008
Externally publishedYes
Event2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico
Duration: Apr 7 2008Apr 12 2008

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2008 IEEE 24th International Conference on Data Engineering, ICDE'08
CountryMexico
CityCancun
Period4/7/084/12/08

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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  • Cite this

    Deng, Y., Devarakonda, M., Rajamani, N., & Zadrozny, W. (2008). Improving information access for a community of practice using business process as context. In Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08 (pp. 1537-1539). [4497615] (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2008.4497615