Information Extraction from PDF Sources Based on Rule-Based System Using Integrated Formats
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Information extraction from the PDF sources is a tedious task. Most of the existing approaches use either tag-based format such as HTML and XML, or Plain-text format for the extraction of information. In this paper, we present an information extraction technique for research papers which exploits both XML and text formats intelligently. The various patterns and rules are prepared from integrated formats. Furthermore, the intelligent processing of XML and Plain-text for various situations compliments the approach to achieve high accuracy. The proposed approach is a heuristic based approach that extracts the information about logical structure and supportive materials of research papers.
KeywordsInformation extraction Research papers Ontology PDF parser Regular expression XML and plain-text formats
We would like to thank the computer science department of CUST (Capital University of Science & Technology) to provide us research Lab and knowledgeable support to conduct this research activity. We are also thankful to the members of CDSC (Center for Distributed & Semantic Computing) research group for supporting us in different occasion to complete this research work.
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