Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
The importance of named entities in information retrieval and knowledge management has recently brought interest in characterizing semantic relationships between entities. In this...
How can the usability of distributed and heterogeneous geographic data sets be enhanced? Semantic interoperability is a prerequisite for effectively finding and accessing relevant ...
The paper addresses the problem of reasoning with multiple ontologies interrelated with semantic mappings. This problem is becoming more and more relevant due to the necessity of b...
This paper presents Latent Semantic Googling, a variant of Landauer’s Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of word...