The ontomedia project : ODR, relational justice, multimedia

More than ever, the Web is a space of social interaction. Recent trends reveal that Internet users spend more time interacting within online communities than in checking and replying to e-mail. Online communities and institutions create new spaces for interaction, but also open new avenues for the emergence of grievances, claims, and disputes. Consequently, online dispute resolution (ODR) procedures are core to these new online worlds. But can ODR mechanisms provide sufficient levels of reputation, trust ,and enforceability so as to become mainstream? This contribution introduces the new approaches to ODR with an emphasis on the Ontomedia Project, which is currently developing a web-based platform to facilitate online mediation in different domains

An XML Coding Scheme for Multimodal Corpus Annotation

International audienceMultimodality has become one of today's most crucial challenges both for linguistics and computer science, entailing theoretical issues as well as practical ones (verbal interaction description, human-machine dialogues, virtual reality etc...). Understanding interaction processes is one of the main targets of these sciences, and requires to take into account the whole set of modalities and the way they interact.From a linguistic standpoint, language and speech analysis are based on studies of distinct research fields, such as phonetics, phonemics, syntax, semantics, pragmatics or gesture studies. Each of them have been investigated in the past either separately or in relation with another field that was considered as closely connected (e.g. syntax and semantics, prosody and syntax, etc.). The perspective adopted by modern linguistics is a considerably broader one: even though each domain reveals a certain degree of autonomy, it cannot be accounted for independently from its interactions with the other domains. Accordingly, the study of the interaction between the fields appears to be as important as the study of each distinct field. This is a pre-requisite for an elaboration of a valid theory of language. However, as important as the needs in this area might be, high level multimodal resources and adequate methods in order to construct them are scarce and unequally developed. Ongoing projects mainly focus on one modality as a main target, with an alternate modality as an optional complement. Moreover, coding standards in this field remain very partial and do not cover all the needs in terms of multimodal annotation. One of the first issues we have to face is the definition of a coding scheme providing adequate responses to the needs of the various levels encompassed, from phonetics to pragmatics or syntax. While working in the general context of international coding standards, we plan to create a specific coding standard designed to supply proper responses to the specific needs of multimodal annotation, as available solutions in the area do not seem to be totally satisfactory. <BR /

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201