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Displaying 1-6 out of 6 total
Integration of Biomedical Text and Sequence OAI Repositories
Found in: Digital Libraries, Joint Conference on
By Yueyu Fu, Javed Mostafa
Issue Date:June 2004
pp. 25-26
Archived biomedical literature and sequence data are growing rapidly. The Open Archives Initiative's Protocol for Metadata Harvesting (OAI-PMH) [The Open Achieves Initiative Protocol for Metadata Harvesting- Version 2. 2002] provides a convenient way for d...
   
Toward Information Retrieval Web Services for Digital Libraries
Found in: Digital Libraries, Joint Conference on
By Yueyu Fu, Javed Mostafa
Issue Date:June 2004
pp. 370-371
Information retrieval (IR) functions serve a critical role in many digital library systems. There are numerous mature IR algorithms that have been implemented and it will be a waste of resources and time to re-implement them. The implemented IR algorithms ...
   
Protein Association Discovery in Biomedical Literature
Found in: Digital Libraries, Joint Conference on
By Yueyu Fu, Javed Mostafa, Kazuhiro Seki
Issue Date:May 2003
pp. 113
Protein association discovery can directly contribute toward developing protein pathways; hence it is a significant problem in bioinformatics. LUCAS (Library of User-Oriented Concepts for Access Services) was designed to automatically extract and determine...
 
Collaborative classifier agents: studying the impact of learning in distributed document classification
Found in: Proceedings of the 2007 conference on Digital libraries (JCDL '07)
By Javed Mostafa, Weimao Ke, Yueyu Fu
Issue Date:June 2007
pp. 428-437
We developed a multi-agent framework where agents had limited/distributed knowledge for document classification and collaborated with each other to overcome the knowledge distribution. Each agent was equipped with a certain learning algorithm for predictin...
     
Automated text classification using a multi-agent framework
Found in: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries (JCDL '05)
By Javed Mostafa, Weimao Ke, Yueyu Fu
Issue Date:June 2005
pp. 157-158
Automatic text classification is an important operational problem in digital library practice. Most text classification efforts so far concentrated on developing centralized solutions. However, centralized classification approaches often are limited due to...
     
Concept extraction and association from cancer literature
Found in: Proceedings of the fourth international workshop on Web information and data management (WIDM '02)
By Javed Mostafa, Mathew Palakal, Snehasis Mukhopadhyay, Travis Bauer, Yueyu Fu
Issue Date:November 2002
pp. 100-103
There is a large and growing body of web accessible biomedical literature. As this body of electronic literature grows, so does the possibility that document analysis techniques can be used to automatically extract useful biomedical information from them, ...
     
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