This work is concerned with user perceived privacy and how clients (which we call data subjects here) can be empowered to control their own data consistently with their own intere...
Mapping ontologies with high precision on the Semantic Web is a challenging problem that needs to be addressed in various domains. One of the main problems with any mapping process...
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...
This paper focuses on the improvement of the conceptual structure of FrameNet for the sake of applying this resource to knowledgeintensive NLP tasks requiring reasoning, such as q...