SEMANTIC WEB-BASED MANAGEMENT OF ROUTING CONFIGURATIONS

Abstract-Today, network operators typically reason about network behaviour by observing the effects of a particular configuration in operation. This configuration process typically involves logging configuration changes and rolling back to a previous version when a problem arises. Advanced network operators (more each day) use policy-based routing languages to define the routing configuration and tools based on systematic verification techniques to ensure that operational behaviour is consistent with the intended behaviour. These tools help operators to reason about properties of routing protocols. However, these languages and tools work in low-level, i.e. they focus on properties, parameters, and elements of routing protocols. However, network operators receive high-level policies that must be refined to low level parameters before they can be applied. These high-level policies should consider other properties (e.g. extensibility or reasoning capabilities), parameters (e.g. time period, localization or QoS parameters), and elements (e.g. AAA individuals or resources), when the network configuration is defined. We believe that there is a need of broader approaches in languages and tools for defining routing configurations that are more powerful and integrated to other network elements. This article provides the main ideas behind the specification of routing policies using formal languages which enable the description of semantics. (1) Corresponding author; telephone: +34 868 887646; Fax: +34 868 884151 These semantics make easier the policy refinement process and allows describing an automated process for doing conflict detection on these policies

Design of an E-learning system using semantic information and cloud computing technologies

Humanity is currently suffering from many difficult problems that threaten the life and survival of the human race. It is very easy for all mankind to be affected, directly or indirectly, by these problems. Education is a key solution for most of them. In our thesis we tried to make use of current technologies to enhance and ease the learning process. We have designed an e-learning system based on semantic information and cloud computing, in addition to many other technologies that contribute to improving the educational process and raising the level of students. The design was built after much research on useful technology, its types, and examples of actual systems that were previously discussed by other researchers. In addition to the proposed design, an algorithm was implemented to identify topics found in large textual educational resources. It was tested and proved to be efficient against other methods. The algorithm has the ability of extracting the main topics from textual learning resources, linking related resources and generating interactive dynamic knowledge graphs. This algorithm accurately and efficiently accomplishes those tasks even for bigger books. We used Wikipedia Miner, TextRank, and Gensim within our algorithm. Our algorithm‘s accuracy was evaluated against Gensim, largely improving its accuracy. Augmenting the system design with the implemented algorithm will produce many useful services for improving the learning process such as: identifying main topics of big textual learning resources automatically and connecting them to other well defined concepts from Wikipedia, enriching current learning resources with semantic information from external sources, providing student with browsable dynamic interactive knowledge graphs, and making use of learning groups to encourage students to share their learning experiences and feedback with other learners.Programa de Doctorado en Ingeniería Telemática por la Universidad Carlos III de MadridPresidente: Luis Sánchez Fernández.- Secretario: Luis de la Fuente Valentín.- Vocal: Norberto Fernández Garcí