About SIFTER

The broad aim of the project is to develop information agents based on advanced concepts and techniques from the domains of artificial intelligence, information retrieval, and distributed object computing. The basic functions supported by an agent would include culling information from complex resources that may reside in diverse locations and conducting analysis, synthesis, and customization according to dynamic requirements of the user.

The near term specific objectives are:

• dealing with heterogeneous information sources that may change over time

• handling shifting requirements and interest of users with minimal user involvement

• creating a robust agent architecture for reactive, proactive, and collaborative filtering

• supporting agent collaboration based on natural or artificial economic frameworks for multiagent tasks

With appropriate attention to scalability and efficiency, implementation of systems is carried out using JAVA and CORBA.

SIFTER is an interdisciplinary research collaboration among faculty and students in the Computer & Information Science Department, the School of Informatics, and the School of Library & Information Science at Indiana University.

Key members of the SIFTER team include: Dr. Mathew Palakal, Dr. Snehasis Mukhopadhyay, Dr. Rajeev Raje, and Dr. Javed Mostafa.

For further information about this site and also project related details please contact Javed Mostafa.