More and more structured information in the form of semantic data is nowadays available. It offers a wide range of new possibilities especially for semantic search and Web data in...
— We propose a hierarchical approach to document categorization that requires no pre-configuration and maps the semantic document space to a predefined taxonomy. The utilizatio...
Robert Wetzker, Tansu Alpcan, Christian Bauckhage,...
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
The importance of named entities in information retrieval and knowledge management has recently brought interest in characterizing semantic relationships between entities. In this...