Publication repositories contain an abundance of information about the evolution of scientific research areas. We address the problem of creating a visualization of a research are...
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Ti...
This paper presents a simple and adaptable matching method dealing with web directories, catalogs and OWL ontologies. By using a well-known Knowledge Discovery in Databases model,...
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...