Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
While current search engines serve known-item search such as homepage finding very well, they generally cannot support exploratory search effectively. In exploratory search, user...
Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang ...
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...
Today customers want to use powerful search engines for their huge and increasing content repositories. Full-text-only products with simple result lists are not enough to satisfy t...
In this paper, we present the AgreementMaker, an ontology alignment tool that incorporates the Descendants Similarity Inheritance (DSI) method. This method uses the structure of th...