Funded Projects

　

• PI: Career: A Unified Architecture for Data Mining Large Biomedical Literature Databases (NSF Award No. IIS 0448023, $415K, 03/15/2005-02/28/2010)
• PI: High Performance Rough Sets Data Analysis in Data Mining (NSF Award No. CCF 0514679, $102K, 07/15/2005-07/31/2008)
• Co-PI: Co-PI: Penn State Cancer Education Network Evaluation Phase 2 (PA Dept. of Health/CDC, $399.3K, 07/01/2008-06/31/2010)
• CO-PI: Evaluation of Pennsylvania Comprehensive Cancer Control Program (PA Dept. of Health/CDC, $151K, 07/2007-06/2008)
• Co-PI: Penn State Cancer Education Network Evaluation Phase 1 (PA Dept. of Health, $500K, 04/01/2006-07/31/2008)
• Co-PI: The Drexel University GAANN Fellowship Program: Educating Renaissance Engineers (US Dept. of Education, around $700K ($504K from DoE + Drexel Matchup), 9/1/2006-7/31/2009)
• Co-PI: Center for Public Health Readiness and Communication (PA Dept. of Health, $1.5M,  09/01/2004-08/31/2007)
• Co-PI: Origin and evolution of genomic instability in breast cancer (PA Dept. of Health Tobacco Formula Grant, $100K, 05/01/2004-04/30/2005)
• Co-PI: Systems biology approach to understand protein-protein interactions (PA Dept. of Health Tobacco Formula Grant, $50K, 05/01/2004-04/30-2005)

The Dragon ToolKit

The Dragon Tooolkit is a cute Java-based development package for academic research use in language modeling (LM) and information retrieval (IR). Language modeling has recently emerged as an attractive new framework for text information retrieval and text mining (TM). However, most Java-based free search engines such as Lucene does not support LM very well. The Lemur toolkit is designed for LM and IR, but written in C and C++, which may be a hindrance to people who prefer Java programming. Basically, the dragon toolkit is tailored for researchers who work on large-scale LM and IR and prefer Java programming. Moreover, different from Lucene and Lemur, it provides built-in supports for semantic-based IR and TM. The dragon tookit seamlessly intergrates and implements a set of NLP tools, which enable the toolkit to index text collections with various representation schemes including words, phrases, ontology-based concepts and relationships. However, to minimize the learning time, we intentionally keep the package small and simple. The toolkit does not have some features including distributed IR and cross-language IR which are part of Lemur toolkit.

How to Cite Dragon Toolkit

If you are using the Dragon Toolkit for research work, please cite it in your published papers:

Zhou, X., Zhang, X., and Hu, X., The Dragon Toolkit, Data Mining & Bioinformatics Lab, iSchool at Drexel University, http://www.ischool.drexel.edu/dmbio/dragontool

Download Dragon Toolkit

Get the Dragon Toolkit source code and binary libraries (including external libraries) and necessary supporting data. Click here to download.