—We present an information retrieval model for combining evidence from concept-based semantics, term statistics, and context for improving search precision of genomics literature...
A semantic class is a collection of items (words or phrases) which have semantically peer or sibling relationship. This paper studies the employment of topic models to automatical...
Concept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of applications. Algorithms that compare concept maps would be usefu...
The Semantic Web is still a web, a collection of linked nodes. Navigation of links is currently, and will remain for humans if not machines, a key mechanism for exploring the spac...
Carole A. Goble, Sean Bechhofer, Les Carr, David D...
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...