Abstract
In today’s enterprise, business processes and business intelligence applications need to access and use structured and unstructured information to extend business transactions and analytics with as much adjacent data as possible. Unfortunately, all this information is scattered in many places, in many forms; managed by different database systems, document management systems, and file systems. Companies end up having to build one-of-a-kind solutions to integrate these disparate systems and make the right information available at the right time and in the right form for their business transactions and analytical applications. Our goal is to create an operational business intelligence platform that manages all the information required by business transactions and combines facts extracted from unstructured sources with data coming from structured sources along the DW2.0 pipeline to enable actionable insights. In this paper, we give an overview of the platform functionality and architecture focusing in particular in the information extraction and analytics layers and their application to situational awareness for epidemics medical response.
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Castellanos, M., Dayal, U., Wang, S., Chetan, G. (2010). Information Extraction, Real-Time Processing and DW2.0 in Operational Business Intelligence. In: Kikuchi, S., Sachdeva, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2010. Lecture Notes in Computer Science, vol 5999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12038-1_4
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DOI: https://doi.org/10.1007/978-3-642-12038-1_4
Publisher Name: Springer, Berlin, Heidelberg
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