Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic si...
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...
Searching very large collections can be costly in both computation and storage. To reduce this cost, recent research has focused on reducing the size (pruning) of the inverted ind...
In this work, we present an extension of CORE [2], a tool for Collaborative Ontology Reuse and Evaluation. The system receives an informal description of a specific semantic domai...
Information retrieval systems have to deal with uncertain knowledge and query results should reflect this uncertainty in some manner. However, Semantic Web ontologies are based on...