Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Pull and Push Business Functions in an Experimental Text Processing System

Pull and Push Business Functions in an Experimental Text Processing System
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Author(s): Bogdan D. Czejdo (Center for AMEDD Strategic Studies, USA), L. Harrison Hassell (Center for AMEDD Strategic Studies, USA)and Barbara Wojcik (Center for AMEDD Strategic Studies, USA)
Copyright: 2007
Pages: 7
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch173
ISBN13: 9781599049298
EISBN13: 9781466665378


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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