The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
Abstract. Most Information Retrieval models take documents as Bagof-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked...
There is a growing interest in the use of UML class diagrams as a modeling language to represent domain ontologies. In a series of papers (e.g., [1,2]) we have been using the Gener...
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...