Cognitive Information Processing Challenges for Homeland Security
نویسندگان
چکیده
This paper describes the goals and emerging results of an ongoing research project in order to solicit input and feedback from the AI for Homeland Security community. The objective is to gain a greater understanding of the performance issues and computational requirements associated with real world AI applications for intelligence analysis and homeland security. These computational requirements will be used to design next generation hardware/software architectures for cognitive information processing.
منابع مشابه
Towards Semantic Integration of Legacy Databases for Homeland Security
Sharing information between diverse heterogeneous databases and users has become one of the common goals of ontology-based systems (Musen, 1992; Gruber, 1993). Several commercial endeavors have been successful, such as Yahoo! with taxonomies for categorizing websites and Amazon.com for categorizing products, respectively. However, large legacy databases raise many challenges. The data base sche...
متن کاملTechnology for Enhancing National Security
National security has received unprecedented attention from academics, industrial leaders and the general public since September 11, 2001. The resulting worrying situation calls for solutions from a variety of promising areas, such as database technology. Additionally, traditional data management technologies (e.g., query processing and transaction management), data processing technologies (e.g...
متن کاملPeople-Centric Urban Sensing: Security Challenges for the New Paradigm
We study the security challenges that arise in people-centric urban sensing, a new sensor-networking paradigm that leverages humans as part of the sensing infrastructure. Most prior work on sensor networks has focused on collecting and processing ephemeral data about the environment using a static topology and an application-aware infrastructure. People-centric urban sensing, however, involves ...
متن کاملHomeland Security Data Mining and Link Analysis
Data mining is the process of posing queries to large quantities of data and extracting information often previously unknown using mathematical, statistical, and machine-learning techniques. Data mining has many applications in a number of areas, including marketing and sales, medicine, law, manufacturing, and, more recently, homeland security. Using data mining, one can uncover hidden dependen...
متن کاملAdvanced technologies for homeland defense and security
In recent years significant work has been undertaken by both national and local government agencies to protect critical data and infrastructures from cyber attacks. As a result, many Homeland Security solutions have been newly developed and deployed, requiring the design of new computer systems technologies, as well as techniques allowing security procedures to be executed on many different are...
متن کامل