Exploiting the concepts of social networking represents a novel approach to the approximate similarity query processing. We present a metric social network where relations between...
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
Abstract. The focus of this paper is approaches to measuring similarity for application in content-based query evaluation. Rather than only comparing at the level of words, the iss...
Traditional semantic web query languages support a logicbased access to the semantic web. They offer a retrieval (or reasoning) of data based on facts. On the traditional web and...
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...