College of Computing, Engineering & Construction
Master of Science in Computer and Information Sciences (MS)
Dr. Sherif A. Elfayoumy
Dr. Judith L. Solano
Dr. Charles N. Winton
One problem that exists in today's document management arena is the issue of retrieving information from electronic documents such as images, Microsoft Office documents, and e-mail. Specific data entities must be extracted from these documents so that the data can be searched and queried. This study presents a unique approach to extracting these entities: using Extensible Stylesheet Language Transformations (XSLT) to match patterns in text. Because XSLT is processed at run time, new XSLT templates can be created and used without having to recompile and redeploy the application. The specific implementation addressed in this project extracts entities from an image file. The data in the image file is converted to Extensible Markup Language (XML) text via optical character recognition (OCR), and then this XML text is transformed into an organized, well-formed XML output file using an XSLT template. We show this approach can accurately retrieve the correct data and this method can be extended to other electronic document sources.
McManigal, Chris A., "Towards More Comprehensive Information Retrieval Systems: Entity Extraction Using XSLT" (2005). UNF Graduate Theses and Dissertations. 222.