On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Because software libraries are numerous and large, learning how to use them is a common and problematic task for experienced programmers and novices alike. Internet search engines...
This paper aims to quantify two common assumptions about social tagging: (1) that tags are “meaningful” and (2) that the tagging process is influenced by tag suggestions. For...
Fabian M. Suchanek, Milan Vojnovic, Dinan Gunaward...
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...