The Web of Community Trust - Amateur Fiction Online: A Case Study in Community Focused Design for the Semantic Web

This thesis describes a case study online community: online amateur authors. Taking this case study community as a base, this thesis considers how the concept of community is applied within the Semantic Web domain. Considering the community structures that can be demonstrated through the case study, this thesis makes the case for the recognition of a specific type of social network structure, one that fulfills the traditional definitions of ‘community’. We argue that this sub-type occupies an important position within social networks and our understanding of them due to the structures required for them to be so defined and that there are assumptions and inferences which can be made about nodes within this type of community group but not others. Having detailed our case study community and the type of network it represents, this thesis goes on to consider how the community could be supported beyond the mailing lists and journalling sites upon which it currently relies. Through our investigation of the community’s issues and requirements, we focus on identity and explore this concept within the context of community membership. Further we analyse the community practice of metadata annotation, in comparison to other metadata systems such as tagging, and as it related to the development of the community. We propose a number of ontological models which we argue could assist the community and, finally, consider ways in which these models could be made available to the community in keeping with current practice and level of technical knowledge as evidenced by the community

The Web of community trust : amateur fiction online : a case study in community focused design for the Semantic Web

This thesis describes a case study online community: online amateur authors. Taking this case study community as a base, this thesis considers how the concept of community is applied within the Semantic Web domain. Considering the community structures that can be demonstrated through the case study, this thesis makes the case for the recognition of a specific type of social network structure, one that fulfils the traditional definitions of ‘community’. We argue that this sub-type occupies an important position within social networks and our understanding of them due to the structures required for them to be so defined and that there are assumptions and inferences which can be made about nodes within this type of community group but not others. Having detailed our case study community and the type of network it represents, this thesis goes on to consider how the community could be supported beyond the mailing lists and journalling sites upon which it currently relies. Through our investigation of the community’s issues and requirements, we focus on identity and explore this concept within the context of community membership. Further we analyse the community practice of metadata annotation, in comparison to other metadata systems such as tagging, and as it related to the development of the community. We propose a number of ontological models which we argue could assist the community and, finally, consider ways in which these models could be made available to the community in keeping with current practice and level of technical knowledge as evidenced by the community.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Introduction : bringing a new vision to online dispute resolution

This article offers a brief overview of the state-of-the-art ODR domain by presenting the contributions to the field made by the participants in this volume. It also examines some of the challenges that ODR face at present with regard to interoperability and the new evolutions of the Web 2.0. Finally, it also considers the need for a new vision of ODR that, while keeping pace with the technological developments of the Web, situates the users the center of the paradigm

Computer-Assisted Processing of Intertextuality in Ancient Languages

The production of digital critical editions of texts using TEI is now a widely-adopted procedure within digital humanities. The work described in this paper extends this approach to the publication of gnomologia (anthologies of wise sayings) , which formed a widespread literary genre in many cultures of the medieval Mediterranean. These texts are challenging because they were rarely copied straightforwardly ; rather , sayings were selected , reorganised , modified or re-attributed between manuscripts , resulting in a highly interconnected corpus for which a standard approach to digital publication is insufficient. Focusing on Greek and Arabic collections , we address this challenge using semantic web techniques to create an ecosystem of texts , relationships and annotations , and consider a new model – organic , collaborative , interconnected , and open-ended – of what constitutes an edition. This semantic web-based approach allows scholars to add their own materials and annotations to the network of information and to explore the conceptual networks that arise from these interconnected saying

An ontology-based framework for the automated analysis and interpretation of comic books' images

International audienceSince the beginning of the twenty-first century, the cultural industry has been through a massive and historical mutation induced by the rise of digital technologies. The comic books industry keeps looking for the right solution and has not yet produced anything as convincing as the music or movie have. A lot of energy has been spent to transfer printed material to digital supports so far. The specificities of those supports are not always exploited at the best of their capabilities, while they could potentially be used to create new reading conventions. In spite of the needs induced by the large amount of data created since the beginning of the comics history, content indexing has been left behind. It is indeed quite a challenge to index such a composition of textual and visual information. While a growing number of researchers are working on comic books' image analysis from a low-level point of view, only a few are tackling the issue of representing the content at a high semantic level. We propose in this article a framework to handle the content of a comic book, to support the automatic extraction of its visual components and to formalize the semantic of the domain's codes. We tested our framework over two applications: 1) the unsupervised content discovery of comic books' images, 2) its capabilities to handle complex layouts and to produce a respectful browsing experience to the digital comics reader