Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...
The leading web search engines have spent a decade building highly specialized ranking functions for English web pages. One of the reasons these ranking functions are effective is...
The Carnegie Mellon University Informedia group has enjoyed consistent success with TRECVID interactive search using traditional storyboard interfaces for shot-based retrieval. Fo...
Web search is often viewed as a solitary task; however, there are many situations in which groups of people gather around a single computer to jointly search for information onlin...
Region-based image retrieval systems aim to improve the effectiveness of content-based search by decomposing each image into a set of “homogeneous” regions. Thus, similarity b...