The massive growth in ontology development has opened new research challenges such as ontology management, search and retrieval for the entire semantic web community. These results in many recent developments, like OntoKhoj, Swoogle, OntoSearch2, that facilitate tasks user have to perform. These semantic web portals mainly treat ontologies as plain texts and use the traditional text classification algorithms for classifying ontologies in directories and assigning predefined labels rather than using the semantic knowledge hidden within the ontologies. These approaches suffer from many types of classification problems and lack of accuracy, especially in the case of overlapping ontologies that share common vocabularies. In this paper, we define an ontology classification problem and categorize it into many sub-problems. We present a new ontological methodology for the classification of web ontologies, which has been guided by the requirements of the emerging Semantic Web applications and by the lessons learnt from previous systems. The proposed framework, OntClassifire, is tested on 34 ontologies with a certain degree of overlapping domain, and effectiveness of the ontological mechanism is verified. It benefits the construction, maintenance or expansion of ontology directories on the semantic web that help to focus on the crawling and improving the quality of search for the software agents and people. We conclude that the use of a context specific knowledge hidden in the structure of ontologies gives more accurate results for the ontology classification.

Spatial Hypertext Wiki (ShyWiki) is a wiki which represents knowledge using notes that are spatially distributed in wiki pages and have visual characteristics such as colour, size, or font type. The use of spatial and visual characteristics in wikis is important to improve human comprehension, creation and organization of knowledge. Another important capability in wikis is to allow machines to process knowledge. Wikis that formally structure knowledge for this purpose are called semantic wikis. This paper describes how ShyWiki can make use of spatial hypertext in order to be a semantic wiki. ShyWiki can represent knowledge at different levels of formality. Users of ShyWiki can annotate the content and represent semantic relations without being experts of semantic web data description languages. The spatial hypertext features make it suitable for users to represent unstructured knowledge and implicit graphic relations among concepts. In addition, semantic web and spatial hypertext features are combined to represent structured knowledge. The semantic web features of ShyWiki improve navigation and publish the wiki knowledge as RDF resources, including the implicit relations that are analyzed using a spatial parser.

Nowadays, one of the main issues discussed at the Community level is represented by the mobility of students and workers across Europe. During the last years, in order to deal with the above picture, several initiatives have been carried out: one of them is the definition of the European Qualification Framework (EQF), a common architecture for the description of qualifications. At the same time, several research activities were established with the aim of finding how semantic technologies could be exploited for qualifications comparison in the field of human resources acquisition. In this paper, the EQF specifications are taken into account and they are applied in a practical scenario to develop a ranking algorithm for the comparison of qualifications expressed in terms of knowledge, skill and competence concepts, potentially aimed at supporting European employers during the recruiting phase.

The user experience of any software or website consists of elements from the conceptual to the concrete level. These elements of user experience assist in the design and development of user interfaces. On the other hand, ontologies provide a framework for computable representation of user interface elements and underlying data. This paper discusses strategies of introducing ontologies at different user interface layers adapted from user experience elements. These layers range from abstract levels (e.g. User needs/Application Objectives) to concrete levels (e.g. Application User Interface) in terms of data representation. The proposed ontological framework enables device independent, semi-automated GUI construction which we will demonstrate at a personal information management example.

Semantic-based technologies have been steadily increasing their relevance in recent years in both the research world and business world. Considering this, the present article discusses the process of design and implementation of a competency management system in information and communication technologies domain utilizing the latest Semantic Web tools and technologies including D2RQ server, TopBraid Composer, OWL 2, SPARQL, SPARQL Rules and common human resources related public vocabularies. In particular, the paper discusses the process of building individual and enterprise competence models in a form of ontology database, as well as different ways of meaningful search and retrieval of expertise data on the Semantic Web. The ontological knowledge base aims at storing the extracted and integrated competences from structured, as well as unstructured sources. By using the illustrative case study of deployment of such a system in the Human Resources sector at the Mihajlo Pupin Institute, this paper shows an example of new approaches to data integration and information management. The proposed approach extends the functionalities of existing enterprise information systems and offers possibilities for development of future Internet services. This allows organizations to express their core competences and talents in a standardized, machine processable and understandable format, and hence, facilitates their integration in the European Research Area and beyond.

Retrieving information or discovering knowledge from a well organized data center in general is requested to be familiar with its schema, structure, and architecture, which against the inherent concept and characteristics of cloud environment. An effective approach to retrieve desired information or to extract useful knowledge is an important issue in the emerging information/knowledge cloud. In this paper, we propose an ontology-based agent generation framework for information retrieval in a flexible, transparent, and easy way on cloud environment. While user submitting a flat-text based request for retrieving information on a cloud environment, the request will be automatically deduced by a Reasoning Agent (RA) based on predefined ontology and reasoning rule, and then be translated to a Mobile Information Retrieving Agent Description File (MIRADF) that is formatted in a proposed Mobile Agent Description Language (MADF). A generating agent, named MIRA-GA, is also implemented to generate a MIRA according to the MIRADF. We also design and implement a prototype to integrate these agents and show an interesting example to demonstrate the feasibility of the architecture.

Project monitoring plays a crucial role in project management, which is a part of every stage of a project's life-cycle. Nevertheless, along with the increasing ratio of outsourcing in many companies' strategic plans, project monitoring has been challenged by geographically dispersed project teams and culturally diverse team members. Furthermore, because of the lack of a uniform standard, data exchange between various project monitoring software becomes an impossible mission. These factors together lead to the issue of ambiguity in project monitoring processes. Ontology is a form of knowledge representation with the purpose of disambiguation. Consequently, in this paper, we propose the framework of an ontology-based real-time project monitoring system (ORPSM), in order to, by means of ontologies, solve the ambiguity issue in project monitoring processes caused by multiple factors. The framework incorporates a series of ontologies for knowledge capture, storage, sharing and term disambiguation in project monitoring processes, and a series of metrics for assisting management of project organizations to better monitor projects. We propose to configure the ORPMS framework in a cloud environment, aiming at providing the project monitoring service to geographically distributed and dynamic project members with great flexibility, scalability and security. A case study is conducted on a prototype of the ORPMS in order to evaluate the framework.

Malgré un télescopage plus que dommageable avec l’affaire Ferrand – il aurait déjà dû démissionner – François Bayrou a annoncé un train de mesures visant à moraliser visant à encadrer les élus. Et bien celles-ci vont dans le bon sens. Bien sûr, on pourra...

Non, Fred, t’es pas tout seul… toi et tes copains abstentionnistes, vous êtes 27.125.535… soit 57,36% des français en âge de voter pour les législatives. Une paille quoi. Ce chiffre affolant permet à certains de dire que, les nouveaux députés ne sont...

Avec la fin du communisme, nous devions assister à la fin de l’histoire mais les crises économiques en ont décidé autrement. Et ce d’autant plus que depuis, les problématiques de déclassement social, territorial et de questionnement « identitaires » n’ont...

C’était il y a 3 ans et pourtant le souvenir de cette soirée est toujours là, pesante et iréelle. Exceptionnellement nous étions chez nous ce vendredi, en famille nous regardions la télévision. Si je n’ai pas souvenir du programme, je me souviens encore...

Il y a quelques jours, je parlais d’émergence d’un nouveau monde bipolaire. Le hasard des écrits faisant parfois bien les choses, depuis quelques jours est apparu dans notre vocabulaire, les Gilets Jaunes. Il ne se passe plus un jour, sans qu’on essaye...

On est enfin à ce jour qui magnifie la contradiction de nos sociétés. A lors qu’on nous met en garde tous les jours contre l’obsolescence programmée de notre unique planète, notre société de sur-consommation nous intime l’ordre de consommer jusqu’à plus...

Comme on devait s’y attendre, l’attentat de Strasbourg n’a pas manqué, s’il en était encore besoin, de charrier son lot de rumeurs complotistes. Un regard rapide sur les réseaux sociaux de toute nature suffit à se rendre compte de ce triste phénomène....

L'actualité aidant, une personne sur twitter a exhumé un vieux billet que j'avais écrit en Mai 2011. A l'époque, je parlais du Parti Socialiste... sans fausse modestie, j'avais vu plutôt juste... Aujourd'hui, on peut déjà parler d'un autre "parti" mais...

L'évènement est là, l'écrivain maudit et adulé - qu'on mérite - sort son dernier ouvrage, son nouveau chef d'oeuvre. Houellebecq a ça de bien, c'est qu'il permettra une nouvelle hystérisation du débat littéraire. Génie pour les uns, faussaire pour les...

Je n’avais pas vu venir cette analyse de haut vol de l’ancien Président de la République et l’ancien Premier Secrétaire du Pati Socialiste, je cite « La reconquête des classes populaires est donc, pour la gauche, un impératif démocratique ». Je salue...

L’info du jour | 9 novembre - Soir

L’info du jour | 10 novembre - Matin

Tensions à l'Université Lyon-3 : la classe politique condamne les attaques contre Yaël Braun-Pivet

L’info du jour | 10 novembre - Mi-journée

La Russie lance un "nombre record" de drones sur l'Ukraine. Barrage de drones ukrainiens sur Moscou

Des frappes de Tsahal ont fait plus de 50 morts au Liban et à Gaza, tirs de roquettes sur Israël

La COP29 en Azerbaïdjan : une première pour les talibans

L’info du jour | 10 novembre - Soir

L’info du jour | 11 novembre - Matin

Moyen-Orient : Israël visé par des drones et des missiles. Lourd bilan à Gaza et au Liban

L’info du jour | 11 novembre - Mi-journée

No Comment : les mariachis se réunissent à Mexico pour battre le record du monde de chant

No Comment : des slackliners se balancent entre des montgolfières à 2 500 mètres d'altitude

L’info du jour | 11 novembre - Soir

L’info du jour | 12 novembre - Matin

Espagne : des problèmes sanitaires dans les zones sinistrées par les inondations

Serbie : des manifestants demandent la démission du gouvernement après le drame de Novi Sad

Au moins 22 personnes tuées dans des frappes au Liban et à Gaza, et le cessez-le-feu au point mort

L’info du jour | 12 novembre - Mi-journée

Trump va nommer les "faucons" Rubio et Waltz à la tête de la politique étrangère (rapports)

No Comment : funérailles collectives au Liban

L’info du jour | 12 novembre - Soir

L’info du jour | 13 novembre - Matin

Le chef de l'Église anglicane démissionne en raison de sa gestion d'un scandale d'abus sexuels

No Comment : en Serbie, des centaines d’œufs jetés sur le siège d’Euro Lithium Balkan

No Comment : l'éruption d'un volcan cloue les avions au sol à Bali

L’info du jour | 13 novembre - Mi-journée

Les enfants de Gaza au Liban sont pris dans une autre guerre

This paper presents a sequential edge swap (SQES) mechanism to design a robust network for a healthcare system utilising energy and communication range of nodes. Two operations: sequential degree difference operation (SQDDO) and sequential angle sum operation (SQASO) are performed to enhance the robustness of network. With equivalent degrees of nodes from the network's centre to its periphery, these operations build a robust network structure. Disaster attacks that have a substantial impact on the network are carried out using the network information. To identify a link between the malicious and disaster attacks, the Pearson coefficient is employed. SQES creates a robust network structure as a single objective optimisation solution by changing the connections of nodes based on the positive correlation of these attacks. SQES beats the current methods, according to simulation results. When compared to hill-climbing algorithm, simulated annealing, and ROSE, respectively, the robustness of SQES is improved by roughly 26%, 19% and 12%.

The increased volume of accessible internet data creates an opportunity for researchers and practitioners to improve time series forecasting for many indicators. In our study, we assess the value of web traffic data in forecasting the number of short-term visitors travelling to Australia. We propose a feature-based model selection framework which combines random forest with feature ranking process to select the best performing model using limited and informative number of features extracted from web traffic data. The data was obtained for several tourist attraction and tourism information websites that could be visited by potential tourists to find out more about their destinations. The results of random forest models were evaluated over 3- and 12-month forecasting horizon. Features from web traffic data appears in the final model for short term forecasting. Further, the model with additional data performs better on unseen data post the COVID19 pandemic. Our study shows that web traffic data adds value to tourism forecasting and can assist tourist destination site managers and decision makers in forming timely decisions to prepare for changes in tourism demand.

DeFog is an innovative microservice placement and load balancing approach for distributed multi-cluster cloud-fog-edge architectures to minimise application response times. The architecture is modelled as a three-layered hierarchy. Each layer consists of one or more clusters of machines, with resource constraints increasing towards lower layers. Applications are modelled as service oriented architectures (SOA) comprising multiple interconnected microservices. As many applications can be run simultaneously, and as the resources of the edge and the fog are limited, choosing among services to run on the edge or the fog is the problem this work is dealing with. DeFog focuses on dynamic (i.e., adaptive) decentralised service placement within each cluster with zero downtime, eliminating the need for coordination between clusters. To assess the effectiveness of DeFog, two realistic applications based on microservices are deployed, and several placement policies are tested to select the one that reduces application latency. Least frequently used (LFU) is the reference service placement strategy. The experimental results reveal that a replacement policy that uses individual microservice latency as the crucial factor affecting service placement outperformed LFU by at least 10% in application response time.

Improving website structures is the main task of a website designer. In recent years, numerous web engineering researchers have investigated navigation recommendation systems. Page recommendation systems are critical for mobile website navigation. Accordingly, we propose a smart and adaptive navigation recommendation system based on reinforcement learning. In this system, user navigation history is used as the input for reinforcement learning model. The model calculates a surf value for each page of the website; this value is used to rank the pages. On the basis of this ranking, the website structure is modified to shorten the user navigation path length. Experiments were conducted to evaluate the performance of the proposed system. The results revealed that user navigation paths could be decreased by up to 50% with training on 12 months of data, indicating that users could more easily find a target web page with the help of the proposed adaptive navigation recommendation system.