We present a user interface, the OntoRefiner1 system, for helping the user to navigate numerous retrieved documents after a search querying a semantic portal which integrates a ver...
XML is by now the de facto standard for exporting and exchanging data on the web. The need for querying XML data sources whose structure is not fully known to the user and the need...
We investigate the use of a morphological neural network to improve the performance of information retrieval systems. A morphological neural network is a neural network based on l...
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...