Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
A fundamental problem in peer-to-peer networks is how to locate appropriate peers efficiently to answer a specific query request. This paper proposes a model in which semantically...
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
The detection of new information in a document stream is an important component of many potential applications. In this paper, a new novelty detection approach based on the identi...
This paper describes the latest version of the ABC metadata model. This model has been developed within the Harmony international digital library project to provide a common conce...