As the Internet users’ communities and the information on the web are increasing exponentially, that too associated with a wide range of different cultures and languages; meaningful search in a multilingual setting is required....
Extracting knowledge from unstructured text and then classifying it is gaining importance after the data explosion on the web. The traditional text classification approaches are becoming ubiquitous, but the hybrid of semantic...
A domain-independent conceptual model that aims to be highly reusable across specific domain applications is provided by upper-level ontologies which usually describe abstract concepts. In this paper, the authors proposed...
Cardiac magnetic resonance imaging is a popular non-invasive technique used for assessing the cardiac performance. Automating the segmentation helps in increased diagnosis accuracy in considerably less time and effort. In this...
The increase in the number of users on the internet and the advancement in information technology have spiked the generation of information to an unprecedented level making information retrieval and web mining a difficult task....
To present the biodiversity information, a semantic model is required that connects all kinds of data about living creatures and their habitats. The model must be able to encode human knowledge for machines to be understood....