Database engines face growing scalability challenges as core counts exponentially increase each processor generation, and the efficiency of synchronization primitives used to prot...
Ryan Johnson, Manos Athanassoulis, Radu Stoica, An...
The need for a design language that is rigorous but accessible and intuitive is often at odds with the formal and mathematical nature of languages used for analysis. UML and Petri ...
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
Reliable methods to assess the costs and benefits of ontologies are an important instrument to demonstrate the tangible business value of semantic technologies within enterprises,...
Elena Paslaru Bontas Simperl, Igor O. Popov, Tobia...
Abstract. In this paper we argue why it is necessary to associate linguistic information with ontologies and why more expressive models, beyond RDFS, OWL and SKOS, are needed to ca...
Paul Buitelaar, Philipp Cimiano, Peter Haase, Mich...