We propose a language-model-based ranking approach for SPARQLlike queries on entity-relationship graphs. Our ranking model supports exact matching, approximate structure matching,...
This paper describes and evaluates various general stemming approaches for the French, Portuguese (Brazilian), German and Hungarian languages. Based on the CLEF test-collections, ...
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...