Leveraging Social data with Semantics

An ontological model for unifying user data of various social networks helps to avoid data redundancy by using graph structures and including contextual information

We have shared large cross-domain knowledge bases [4], enriched them with linguistic and distributional information [7, 5, 2] and created contin- uous evolution feedback loops

In fact, most of us (and I include myself here) have done rather worse than that – in that having identified the need to think beyond growth we have then reverted to the more

Une des méthodes pour réduire la bande passante requise pour la transmission d’images stéréoscopiques consiste à coder les deux images de la paire stéréo avec des PSNR ou des

frottements produits sont plus faibles par rapport à ceux engendrés sur le profil solide NACA 0012, mais le contrôle par aspiration sur le profil poreux NACA 0012, rend l’épaisseur

To compare the topology of the social graphs to the topology of the civil graph we use another method which makes use of precision and recall. These are two metrics that measure

Finally, this article highlights the consequences that these uncertainties may have on the protection of users’ fundamental rights and the necessity to ensure

While the scope of the modality is narrow in the case of ability, permission, opportunity, narrow scope internal necessity and narrow scope external necessity, it is wide in the