Swiss Democracy on the Web 2010 : Society and Politics in a Connected Age

The rapid adoption of online media like Facebook, Twitter or Wikileaks leaves us with little time to think. Where is information technology taking us, our society and our democratic institutions ? Is the Web replicating social divides that already exist offline or does collaborative technology pave the way for a more equal society ? How do we find the right balance between openness and privacy ? Can social media improve civic participation or do they breed superficial exchange and the promotion of false information ? These and lots of other questions arise when one starts to look at the Internet, society and politics. The first part of this paper gives an overview of the social changes that occur with the rise of the Web. The second part serves as an overview on how the Web is being used for political participation in Switzerland and abroad. Le développement rapide de nouveaux médias comme Facebook, Twitter ou Wikileaks ne laisse que peu de temps à la réflexion. Quels sont les changements que ces technologies de l'information impliquent pour nous, notre société et nos institutions démocratiques ? Internet ne fait-il que reproduire des divisions sociales qui lui préexistent ou constitue-t-il un moyen de lisser et d'égaliser ces mêmes divisions ? Comment trouver le bon équilibre entre transparence et respect de la vie privée ? Les médias sociaux permettent-ils de stimuler la participation politique ou ne sont-ils que le vecteur d'échanges superficiels et de fausses informations ? Ces questions, parmi d'autres, émergent rapidement lorsque l'on s'intéresse à la question des liens entre Internet, la société et la politique. La première partie de ce cahier est consacrée aux changements sociaux générés par l'émergence et le développement d'Internet. La seconde fait l'état des lieux de la manière dont Internet est utilisé pour stimuler la participation politique en Suisse et à l'étranger.

Frame detection over the semantic web

In the past, research in ontology learning from text has mainly focused on entity recognition, taxonomy induction and relation extraction. In this work we approach a challenging research issue: detecting semantic frames from texts and using them to encode web ontologies. We exploit a new generation Natural Language Processing technology for frame detection, and we enrich the frames acquired so far with argument restrictions provided by a super-sense tagger and domain specializations. The results are encoded according to a Linguistic MetaModel, which allows a complete translation of lexical resources and data acquired from text, enabling custom transformations of the enriched frames into modular ontology components.

The AO comprehensive classification of pediatric long-bone fractures: a web-based multicenter agreement study.

The first AO comprehensive pediatric long-bone fracture classification system has been proposed following a structured path of development and validation with experienced pediatric surgeons. A Web-based multicenter agreement study involving 70 surgeons in 15 clinics and 5 countries was conducted to assess the reliability and accuracy of this classification when used by a wide range of surgeons with various levels of experience. Training was provided at each clinic before the session. Using the Internet, participants could log in at any time and classify 275 supracondylar, radius, and tibia fractures at their own pace. The fracture diagnosis was made following the hierarchy of the classification system using both clinical terminology and codes. kappa coefficients for the single-surgeon diagnosis of epiphyseal, metaphyseal, or diaphyseal fracture type were 0.66, 0.80, and 0.91, respectively. Median accuracy estimates for each bone and type were all greater than 80%. Depending on their experience and specialization, surgeons greatly varied in their ability to classify fractures. Pediatric training and at least 2 years of experience were associated with significant improvement in reliability and accuracy. Kappa coefficients for diagnosis of specific child patterns were 0.51, 0.63, and 0.48 for epiphyseal, metaphyseal, and diaphyseal fractures, respectively. Identified reasons for coding discrepancies were related to different understandings of terminology and definitions, as well as poor quality radiographic images. Results supported some minor adjustments in the coding of fracture type and child patterns. This classification system received wide acceptance and support among the surgeons involved. As long as appropriate training could be performed, the system classification was reliable, especially among surgeons with a minimum of 2 years of clinical experience. We encourage broad-based consultation between surgeons' international societies and the use of this classification system in the context of clinical practice as well as prospectively for clinical studies.