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SIE-OBI: a streaming information extraction platform for operational business intelligence

Published: 06 June 2010 Publication History

Abstract

Emerging business intelligence (BI) applications aim to provide situational awareness, i.e., information about real-world events that might affect the business operations of an enterprise. For instance, an enterprise might want to know whether customers are posting positive or negative comments about a new product it has just introduced; or whether some natural disaster affects its contracted suppliers. It is difficult to develop such applications today because they require extracting and correlating facts from multiple streaming and stored data sources, typically including unstructured data, which is not well supported by BI platforms today. In this paper, we describe SIE-OBI, a system that we are developing to enable the development and execution of such applications. We describe the novel features of this system, including a declarative interface for rapidly developing such applications, and a platform for optimizing and executing the applications. We illustrate its applicability through two use cases.

References

[1]
Loeser, A., Hueske, F., Markl, V. Situational Business Intelligence. Proc. 2nd Int. BIRTE Workshop at VLDB. Auckland, New Zealand, August 2008. LNBIP 27, Springer.
[2]
Castellanos, M., Gupta, C., Wang, S., Dayal, U. Leveraging Web Streams for Contractual Situational Awareness in Operational BI. Proc. 1st International BEWEB Workshop at EDBT. Lausanne, Switzerland, March 2010.
[3]
Castellanos, M., Dayal, U. FACTS: An Approach to Unearth Legacy Contracts. Proc. First Int. Workshop on Electronic Contracting (WEC-04), San Diego, CA, July 2004.
[4]
Sarawagi, S. Information Extraction. Foundations and Trends in Databases. Vol 1, No. 3 (2008), 261--377
[5]
Dayal, U., Castellanos, M., Simitsis, A., Wilkinson, K. Data Integration Flows for Business Intelligence. Proc. EDBT 2008. St. Petersburg, Russia, March 2008.
[6]
Feldman, R., Sanger, J. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, New York, NY, 2007.
[7]
http://www.aktors.org/technologies/annie/
[8]
http://www.opencalais.com

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    cover image ACM Conferences
    SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
    June 2010
    1286 pages
    ISBN:9781450300322
    DOI:10.1145/1807167
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 06 June 2010

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    Author Tags

    1. business intelligence
    2. correlation
    3. information extraction
    4. situational awareness
    5. streaming data
    6. unstructured data

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    SIGMOD/PODS '10
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    SIGMOD/PODS '10: International Conference on Management of Data
    June 6 - 10, 2010
    Indiana, Indianapolis, USA

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    Overall Acceptance Rate 785 of 4,003 submissions, 20%

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