Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is...
Discovering mappings between concept hierarchies is widely regarded as one of the hardest and most urgent problems facing the Semantic Web. The problem is even harder in domains w...
Risto Gligorov, Warner ten Kate, Zharko Aleksovski...
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
In this paper, we propose a novel approach to automatically detect "hot" or important topics of discussion in the blogosphere. The proposed approach is based on analyzing...
Shamanth Kumar, Reza Zafarani, Mohammad Ali Abbasi...
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...