Modularity is a key requirement for large ontologies in order to achieve re-use, maintainability, and evolution. Mechanisms for ‘normalisation’ to achieve analogous aims are s...
How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly const...
With increasing popularity of using ontologies, many industrial and clinical applications have employed ontologies as their conceptual backbone. Ontologies try to capture knowledge...
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Service composition aims to provide an efficient and accurate model of a service, based on which the global service oriented architecture (SOA) can be realized, allowing value add...