Previous AI Lab Research

 

  

Dark Web and GeoPolitical Web Research 
The AI Lab Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach.
Authorship Analysis 
To develop text mining and data mining techniques to support automated extraction and inference of regulatory pathways from biomedical literature and experimental data.
Data Warehousing - COPLINK / BorderSafe / RISC 
Cross-jurisdictional information sharing, analysis, visualization and research for the law enforcement and intelligence community for border and national security.
Sports Data Mining 
Sports data mining includes data mining, web mining, web mashups, and cloud computing in various sports related applications. Dr. Chen published the first Sports Data Mining book in 2010.
BioPortal™ for Disease Surveillance 
Use of the BioPortal system will improve the ability of public health practitioners to detect and maintain situational awareness of outbreaks of emerging diseases and bioterrorist attacks.
Genomic Pathway Visualizer 
Developed text mining and data mining techniques to support automated extraction and inference of regulatory pathways from biomedical literature and experimental data.
Digital Libraries 
Developed techniques to enhance information retrieval and knowledge management of large digital collections.
Information Analysis and Visualization 
A graphical interface that summarized the discussion content and participants behavior from an archive of a computer mediated communication (CMC) process.
SpidersRUs 
To study the research issues involved, we designed and implemented a toolkit, called SpidersRUs, for multilingual search engine creation.
OOHAY - Visualizing the Web 
The project integrated system and human-generated classification systems and created a high-performance digital library classification system (i.e., the OOHAY system).
Workgroup and Collaborative Computing 
Examined and experimented with knowledge management techniques for groupware and CSCW systems.
Multilingual Systems 
Developed techniques to support cross-Language Information Retrieval (CLIR) and cross-lingual semantic interoperability.