- About the Lab
- Recognition
- Research and Demos
- Overview
- Business Intelligence and Analytics
- Intelligence and Security Infomatics
- Dark Web Terrorism Research
- Sports Data Mining
- COPLINK / BorderSafe / RISC
- BioPortal™ for Disease Surveillance
- Knowledge Mapping for Nanotechnology
- Authorship Analysis
- Genomic Pathway Visualizer
- Digital Libraries & Multilingual Systems
- Information Analysis and Visualization
- Spiders are Us
- OOHAY - Visualizing the Web
- Workgroup and Collaborative Reporting
- Papers and Conferences
- Funding
- People
- News and Events
- Resources for MIS and AI Lab
- Photo Gallery
- Contact Us
- AI Lab Intranet (log in required)
Data Warehousing - Coplink*/BorderSafe/RISC
- Research Goal
- Funding
- Acknowledgements
- Approach and Methodology
- Team Members
- Publications
- Demo now offline
* The COPLINK system was initially developed by the University of Arizona Artificial Intelligence Lab with funding from the National Institute of Justice and the National Science Foundation since 1997. With additional venture funding and product development, Knowledge Computing Corporation (KCC) currently distributes, maintains, and updates the commercially available COPLINK Solution Suite. KCC has recently been merged with i2, a premier provider of visual analysis software.
Terrorism Knowledge Portal
Introduction
The Terrorism Knowledge Portal was a search engine created specifically for the domain of terrorism research. It was developed by the Artificial Intelligence Lab at the University of Arizona. This research project was supported by the National Science Foundation.
This project aimed to explore governmental,
social, technical, and educational
issues relevant to supporting intelligent
Web searching in terrorism-related
research. The portal supported searching
of a customized terrorism research
database with over 360,000 quality
pages. In addition, it provided access
to terrorism research institutes,
government Web sites, news and presses,
and a collection of useful Web resources
for researchers.
The AI Lab's Meta Search module and
MetaProducts's Offline Explorer were
used to collect pages. An advanced
page collecting methodology was used
to ensure the quality and coverage
of the collection. Furthermore, a
content analysis algorithm and link
analysis algorithm were used to rank
the search results as well as filter
out unrelated pages. Microsoft SQL
Server was used as a backend database
server.
Related Projects
- Terrorism knowledge Portal
- Coplink* Collaboration Agent
- Coplink* Hyperbolic Tree Visualization
- Spatio Temporal Visualizer
- BorderSafe
- Criminal Network Analysis
- Deception Detection
- Authorship Analysis
