La révolution du 25 janvier 2011 et la presse écrite égyptienne

Cette étude présente une analyse du discours de la presse écrite avant et après la Révolution égyptienne de 2011 dans deux quotidiens nationaux : un journal d’État, Al Ahram et un journal indépendant, Al Dustûr. Le premier chapitre présente les notions théoriques et approches qui sont pertinentes pour cette étude. Tout d’abord, les travaux de Denis Monière (2009), que nous utilisons pour les analyses lexicale et sémantique. Ensuite, le cadre notionnel développé par Teun Adrianus Van Dijk, qui est important pour notre analyse des stratégies discursives et de l’idéologie. Le second chapitre présente un survol de l’histoire de l’Égypte, du développement de la presse écrite dans ce pays au XXe siècle et de l’histoire des deux journaux d’où sont extraits les textes de notre corpus. Le troisième chapitre présente la méthodologie et les résultats de notre analyse du corpus. Le quatrième chapitre présente enfin les principales stratégies discursives utilisées par ces deux journaux et les conclusions de notre étude, par laquelle nous espérons avoir apporté un éclairage à la compréhension des faits qui ont bouleversé l’histoire récente de l’Égypte.

Neural changes associated with semantic processing in healthy aging despite intact behavioral performance

Semantic memory recruits an extensive neural network including the left inferior prefrontal cortex (IPC) and the left temporoparietal region, which are involved in semantic control processes, as well as the anterior temporal lobe region (ATL) which is considered to be involved in processing semantic information at a central level. However, little is known about the underlying neuronal integrity of the semantic network in normal aging. Young and older healthy adults carried out a semantic judgment task while their cortical activity was recorded using magnetoencephalography (MEG). Despite equivalent behavioral performance, young adults activated the left IPC to a greater extent than older adults, while the latter group recruited the temporoparietal region bilaterally and the left ATL to a greater extent than younger adults. Results indicate that significant neuronal changes occur in normal aging, mainly in regions underlying semantic control processes, despite an apparent stability in performance at the behavioral level.

La mémoire discursive dans Allah n’est pas obligé ou la poétique de l’explication du “blablabla” de Birahima

Cette étude vise à dégager certaines des traces des discours antérieurs (cotextuels) qui sont la matière même du roman « Allah n’est pas obligé », à la fois sur le plan de l’écriture et sur celui d’une mémoire douloureuse. Il s’agit de montrer que la « poétique de l’explication » qui caractérise le roman constitue une stratégie de dévoilement des rhétoriques fallacieuses destinées à occulter l’inadmissible. En effet, le recours constant aux dictionnaires n’est que l’effet le plus visible d’une poétique englobante qui consiste à confronter les uns aux autres les discours sur le monde, discours en deçà des mots inscrits dans le texte comme une mémoire en palimpseste, afin de faire ressortir leur incapacité à expliquer des réalités aussi inhumaines que le sort que subissent les enfants-soldats. Le roman de Kourouma met ainsi en évidence deux attitudes possibles face aux atrocités indicibles des guerres oubliées des temps présents : soit on en nie le caractère insensé en multipliant les discours d’explication, soit l’on dénonce toute tentative de manipulation des discours visant à rendre sensé l’insensé. La première posture est illustrée par le « blablabla » du narrateur Birahima ; la deuxième est celle du roman lui-même.

Comparison of Statistical and Semantic Similarity Techniques for Paraphrase Identification

This paper compares statistical technique of paraphrase identification to semantic technique of paraphrase identification. The statistical techniques used for comparison are word set and word-order based methods where as the semantic technique used is the WordNet similarity matrix method described by Stevenson and Fernando in [3].

eLearning and Semantic Web

Semantic Web: Software agents on the Semantic Web may use commonly agreed service language, which enables co-ordination between agents and proactive delivery of learning materials in the context of actual problems. The vision is that each user has his own personalized agent that communicates with other agents.

Towards semantic web mining

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

Semantic web mining and the representation, analysis, and evolution of web space

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The second aim of this paper is to use these concepts to circumscribe what Web space is, what it represents and how it can be represented and analyzed. This is used to sketch the role that Semantic Web Mining and the software agents and human agents involved in it can play in the evolution of Web space.

Semantic web mining

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on improving the results of Web Mining by exploiting semantic structures in the Web, and they make use of Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of these resources. Therefore, automated schemes for learning the relevant information are increasingly being used. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web sites and navigation behavior are becoming more and more common. Furthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

Semantic network analysis of ontologies

A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as (labeled, directed) graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA). While social network structures in general currently receive high attention in the Semantic Web community, there are only very few SNA applications up to now, and virtually none for analyzing the structure of ontologies. We illustrate in this paper the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality based on Hermitian matrices, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size.

Context Mediation in the Semantic Web: Handling OWL Ontology and Data Disparity through Context Interchange

The COntext INterchange (COIN) strategy is an approach to solving the problem of interoperability of semantically heterogeneous data sources through context mediation. COIN has used its own notation and syntax for representing ontologies. More recently, the OWL Web Ontology Language is becoming established as the W3C recommended ontology language. We propose the use of the COIN strategy to solve context disparity and ontology interoperability problems in the emerging Semantic Web – both at the ontology level and at the data level. In conjunction with this, we propose a version of the COIN ontology model that uses OWL and the emerging rules interchange language, RuleML.

Gestes professionnels, communauté discursive disciplinaire scolaire et savoirs: le triangle infernal

Cette contribution s'interesse aux rapports entre activite enseignante et construction de significations par les eleves, rapport que nous reformulons, dans notre cadre theorique, en termes de liens entre geste professionnel et construction de communautes discursives disciplinaires scolaires dont nous pensons que l'institution est correlee aux apprentissages. En effet, la focalisation sur la seule activite des eleves nous semble insuffisante pour comprendre ce qui permet ou non leur inscription dans les disciplines scolaires et les deplacements cognitifs attendus par leurs enseignants. Des lors s'impose la necessite de comprendre l'activite enseignante qui oriente celle de l'eleve, ce qui nous a conduit a participer a l'elaboration d'un modele appele "l'agir enseignant" qui a pour fonctions de comprendre l'action des enseignants et d'organiser celle des formateurs

TU Graz: Course: 707.000 Web Science and Web Technology: Lecture 13: Web Technologies 2 - The Semantic Web

The semantic web represents a current research effort to increase the capability of machines to make sense of content on the web. In this class, Peter Scheir will give a guest lecture on the basic principles underlying the semantic web vision, including RDF, OWL and other standards.