Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
The overall problem addressed in this paper is to improve semantic interoperability in heterogeneous systems. Normally, the semantics of data is carried by ontology (concept model)...
: Semantic similarity between schema elements is greatly influenced by the context in which the elements are defined and compared. This paper emphasizes on the role of context in e...
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from i...
Abstract— The ability to tag resources with uncontrolled metadata or “folksonomies” is often characterized as one of the central features of “Web 2.0” applications. Folks...