The distinction between digital libraries and electronic editions is becoming more and more subtle. The practice of annotation represents a point of convergence of two only apparently separated worlds. The aim of this paper is to present a model of collaborative semantic annotation of texts (SemLib project), suggesting a system that find in Semantic Web and Linked Data the solution technologies...

Agents are becoming a popular technology for the development of distributed, heterogeneous and always available systems. In those systems, interactions are essential, but semantic heterogeneity turns the establishment of interaction among agents into a problem. When considering reputation models in multi-agent systems, the lack of a consensus about the reputation definition could be a problem f...

In real-time collaborative groupware, shared objects are replicated on distant geographical sites. Each user works on his own copies. This implies the divergence of different copies. Operational transformation approach makes it possible to reconcile the divergent copies. It allows to ensure the syntactic consistency of the copies by ensuring: convergence, causality and user intention. Although ...

We investigate how the three technologies, social media, mobile / pervasive learning and semantic web, may enhance Inquiry-Based Science Teaching (IBST) approaches and digital literacy. IBST may be defined by engaging students in: i) authentic and problembased activities, ii) experimental procedures, iii) self regulated learning sequences, iv) discursive argumentation and communication with pee...

It has been argued that real-world structure constrains the semantic representations of verbs, resulting in cross-linguistic convergence of naming patterns for motion events. This study explores the nature of this real-world structure by manipulating individual features of human locomotion in video stimuli and comparing the responses of English and German speakers in an elicitation task. We sho...

The semantic grid (SG) aims at connecting information silos of web into a gigantic database, and supplying only the useful information to the users. Much advance has been made on information representation, extraction and sharing, but access control in SG is seldom discussed. This paper presents an access control model for semantic gird, which uses asynchronous automata to simulate grid nodes a...

Features automatically extracted from images constitute a new and rich source of semantic knowledge that can complement information extracted from text. The convergence between visionand text-based information can be exploited in scenarios where the two modalities must be combined to solve a target task (e.g., generating verbal descriptions of images, or finding the right images to illustrate a...

Functional Distributional Semantics is a framework that aims to learn, from text, semantic representations which can be interpreted in terms of truth. Here we make two contributions to this framework. The first is to show how a type of logical inference can be performed by evaluating conditional probabilities. The second is to make these calculations tractable by means of a variational approxim...

in this paper‎, ‎following a very recent‎ ‎and new approach‎, ‎we further generalize recently introduced‎ ‎summability methods‎, ‎namely‎, ‎$i$-statistical convergence and‎ ‎$i$-lacunary statistical convergence (which extend the important‎ ‎summability methods‎, ‎statistical convergence and lacunary‎ ‎statistical convergence using ideals of $mathbb{n}$) and‎ ‎introduce the notions of $i$-statis...