Ontology learning from texts has recently been proposed as a new technology helping ontology designers in the modelling process. Discovery of non–taxonomic relations is understoo...
Martin Kavalec, Alexander Maedche, Vojtech Sv&aacu...
We propose an efficient approach for finding relevant XML data twigs defined by unordered query tree specifications. We use the tree signatures as the index structure and find...
Pavel Zezula, Federica Mandreoli, Riccardo Martogl...
This paper presented an approach for the evaluation of a collaborative system, after the completion of system development and software testing but before its deployment. Scenario ...
Lydia M. S. Lau, Craig A. Adams, Peter M. Dew, Chr...
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
This paper presents a method for incorporating natural language processing into existing text categorization procedures. Three aspects are considered in the investigation: (i) a m...