Scientists typically need to take a large volume of information into account in order to deal with re-occurring tasks such as inspecting proceedings, finding related work, or revi...
Algirdas Avizienis, Gintare Grigonyte, Johann Hall...
Abstract. An increasing and overwhelming amount of biomedical information is available in the research literature mainly in the form of free-text. Biologists need tools that automa...
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
This paper reports on the development and application of strategies and tools for geographic information seeking and knowledge building that leverages unstructured text resources ...
Brian M. Tomaszewski, Justine Blanford, Kevin Ross...
Machine-generated documents containing semi-structured text are rapidly forming the bulk of data being stored in an organisation. Given a feature-based representation of such data,...