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Pull and Push Business Functions in an Experimental Text Processing System
Abstract
We observe an unprecedented growth in the volume of unstructured data (text). Extraction of business information from large volume of unstructured data is one of the most important activity. In this paper, we examine an automated mechanism for pull and push functions for business documents. The pull function allows users to access the unstructured data (text documents) by annotating these documents using XML tags and using XML query processing techniques. Our approach is to use a limited context defined by a set of well established so called background documents for the identification and annotation of basic concepts and relationships in new business documents. The push function alerts users to the presence of unstructured data which supports or contradicts the background documents.
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