An effective citation metadata extraction process based on BibPro parser
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 13, Issue 1
Abstract
There is a dramatic increase in academic publications and these publications are integrated to the digital libraries by making use of citation string. Any author can publish the journals conferences with the help of his own citation style. There is no specific format to the conferences and journals citation styles that are publishing on digital libraries. As there is no specific format to the citations it is difficult to any author or researchers when he want to perform field based searching on digital libraries. So it is an interesting problem to extract the components of citations string which is formatted in one of thousand different citation styles. The proposed citation parser named BibPro extracts components of citations strings more accurately with that of existing systems and achieves reasonable performance
Authors and Affiliations
G Guru Brahmam
[b][/b] Multidirectional Product Support System for Decision Making In Textile Industry Using Collaborative Filtering Methods
Automatic Text Extraction System for Complex Images
Abstract : The Intelligent text extraction system automatically identifies and extracts the text present in different types of images. The growth of digital world Detection and Extraction of text regions in an image are...
A Quantified Approach for large Dataset Compression in Association Mining
With the rapid development of computer and information technology in the last several decades, an enormous amount of data in science and engineering will continuously be generated in massive scale; data com...
Modeling an Expert System for Diagnosis of Gestational Diabetes Mellitus Based On Risk Factors
Expert systems are recent product of artificial intelligence. It is a set of programs that manipulate encoded knowledge to solve problems in a specialized domain. Diabetes is a chronic illness that requires continuo...
Discriminant Analysis and Neural Network Based Breast Cancer Classifier Using Electrical Impedance
Abstract: Breast cancer presents a serious medical and social problem worldwide. Early detection is key to effective breast cancer treatment. Therefore, scientists are consistently looking for new diagnostic techniques t...