Most of the information needs today can be satisfied by searching and browsing the Web. However, repetitive tasks such as monitoring information on Web sites should be done autom...
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
With billions of assertions and counting, the Web of Data represents the largest multi-contributor interlinked knowledge base that ever existed. We present a novel framework for a...
With the overwhelming number of reports on similar events originating from different sources on the web, it is often hard, using existing web search paradigms, to find the origi...
We present our experience using a large, real-world application as a course project for the second half of the semester of a CS2 course. Our primary goal for the project was to cr...