The aim of this paper is twofold. In the first part we will consider the new technologies proposed as solution for the Semantic Web and then we try to outline possible applications in different fields of e-learning giving example of actual works. In the second part of the paper our proposal of improvement of an e-learning with a semantic video annotation module is presented.

One of the major difficulties in community environments is to organize learning, because in fields, such as event handling or users remote monitoring, dispatching data is important and critical. Internet of Things (ITs) consists of large semantic nodes which can be used in many new producing fields like community. In this paper, a Hierarchy based reasoning semantic standard has been proposed fo...

The availability of high spatial resolution remote sensing data provides new opportunities for urban land-cover classification. More geometric details can be observed in the high resolution remote sensing image, Also Ground objects in the high resolution remote sensing image have displayed rich texture, structure, shape and hierarchical semantic characters. More landscape elements are represent...

The Semantic Web provides models and abstractions for the distributed processing of knowledge bases. In Software Engineering endeavors such capabilities are direly needed, for ease of implementation, maintenance, and software analysis.Conversely, software engineering has collected decades of experience in engineering large application frameworks containing both inheritance and aggregation. This...

Semantic segmentation is a challenging task that needs to handle large scale variations, deformations and different viewpoints. In this paper, we develop novel network named Gated Path Selection Network (GPSNet), which aims learn adaptive receptive fields. GPSNet, first design two-dimensional multi-scale - SuperNet, densely incorporates features from growing To dynamically select desirable sema...

The large volume of web content needs to be annotated by ontologies (called Semantic Annotation), and our empirical study shows that strong dependencies exist across different types of information (it means that identification of one kind of information can be used for identifying the other kind of information). Conditional Random Fields (CRFs) are the state-of-the-art approaches for modeling t...

The Semantic Web shares many goals with Decision Support Systems (DSS), e.g., being able to precisely interpret information, in order to deliver relevant, reliable and accurate information to a user when and where it is needed. DSS have in addition more specific goals, since the information need is targeted towards making a particular decision, e.g., making a plan or reacting to a certain situa...

Tim Berners-Lee and co-authors in their seminal paper “The Semantic Web”, published in 2001, outlined their vision about the future Semantic Web. But today we are still far from the implementation of this vision. Despite fundamental achievements, like definition of OWL (Web Ontology Language) and rapid progress of RDF/OWL content creation, storage and processing tools, there are still very few ...

Although with the Semantic Web initiative much research on web page semantic annotation has already been done by AI researchers, linguistic text annotation, including the semantic one, was originally developed in Corpus Linguistics and its results have been somehow neglected by AI. The purpose of the research presented in this proposal is to prove that integration of results in both fields is n...