Searching and Visualization of References in Research Documents

Abstract: This research aims to develop a module for information retrieval that can trace references from bibliography entries of research documents, specifically those based on Bogor Agricultural University (IPB)’s writing guidelines. A total of 242 research documents in PDF from the Department of Computer Science IPB were used to generate parsing patterns to extract the bibliography entries. With modified ParaTools, automatic extraction of bibliography entries was performed on text files generated from the PDF files. The entries are stored in a database that is used to visualize author relationship as graphs. This module is supplemented by an information retrieval system based on Sphinx search system and also provides information of authors’ publications and citations. Evaluation showed that (1) bibliography ntry extraction missed only 5.37% bibliography entries caused by incorrect bibliography formatting, (2) 91.54% bibliography entry attributes could be identified correctly, and (3) 90.31% entries were successfully connected to other documents.

Keywords: research documents search, bibliography entries extraction, author relationship visualization, ParaTools

Author: Firnas Nadirman, Ahmad Ridha, Annisa

Journal Code: jptkomputergg140073

Artikel Terkait :

Jp Teknik Komputer gg 2014

• Research on Keyhole Diameter’s Vision Measurement Based on Parallel Technology
• Strain Transfer and Test Research of Stick-up Fiber Bragg Grating Sensors
• Matrix Mask Overlapping and Convolution Eight Directions for Blood Vessel Segmentation on Fundus Retinal Image
• Application Status of the Barkhausen Effect in Nondestructive Testing
• The New Complex-Valued Wavelet Neural Network
• A Review of Current Control Strategy for Single-Phase Grid-Connected Inverters
• Wireless Power Transfer by Using Solar Energy
• One-Time Password Implementation on Lego Mindstorms NXT
• Simple HAWT Prototype Efficiency at Small Scale Wind Speed
• Combine Target Extraction and Enhancement Methods to Fuse Infrared and LLL Images
• Batik Image Retrieval Based on Color Difference Histogram and Gray Level Co-Occurrence Matrix
• A Novel Part-of-Speech Set Developing Method for Statistical Machine Translation
• A Different Single-Phase Hybrid Five-Level Voltage-Source Inverter Using DC-Voltage Modules
• Multi Population Evolutionary Programming Approach for Distributed Generation Installation
• Failure Mechanism Analysis and Failure Number Prediction of Wind Turbine Blades
• Self-learning PID Control for X-Y NC Position Table with Uncertainty Base on Neural Network
• Adaptive Control of Space Robot Manipulators with Task Space Base on Neural Network
• Planar Finger-Shaped Antenna Used in Ultra-Wideband Wireless Systems
• Information Interchange Layer based on Classification of Information Use (IU)
• A Novel Multi-focus Image Fusion Method Based on Non-negative Matrix Factorization
• A Decision Tree Based on Spatial Relationships for Predicting Hotspots in Peatlands
• Traveling-Wave-Based Fault Location in Electrical Distribution Systems with Digital Simulations
• Multi-focus Image Fusion with Sparse Feature Based Pulse Coupled Neural Network
• Measuring Information Security Awareness of Indonesian Smartphone Users