Multiform Arguments in the Historiography of Individualism in Pre-Modern Europe

This dissertation argues that we can have a better, more effective illustrated historiography; that we can construct and communicate historical arguments that combine words and images, considering clear nomenclature, conventions and standards; and that we can develop an analytical and critical discourse about verbal-visual or multiform arguments and knowledge. We can do so because this dissertation offers a new analytical approach to historiography that combines words and images. This approach conceptualizes illustrated historiography and arguments as multiform, to emphasize their hybrid nature, and enhance the awareness of the various forms this hybridity takes. My investigation of this hybridity provides terminology to describe nuances of textual multiformity; analytical methods to explore the structure and function of multiform arguments (MFAs); and, finally, directions for future empirical research that will help scholars construct MFAs more effectively, and deepen our understanding of multiform grammar. This dissertation analyzes five MFAs from five different publications that explore pre-modern individualism in Europe (ca. 1050-1600). Their debate is on where and when individualism developed; what its catalysts, and cultural and social features were; and how to define individual. These illustrated publications range from 1958 to 2015. While the first publication was illustrated after the historians death, the other four were illustrated by the historians themselves. Therefore, the analysis of those five MFAs shows how historians and illustrators create historical notions, using primary sources of both verbal and visual sorts, and how they communicate those notions by juxtaposing words and images in printed books. Analyzing MFAs from a discourse that historicizes the self, and that addresses the methodological and epistemological problematic of the historians self doing so, promotes self-awareness, and analogy between selves and MFAs. Drawing on studies from historiography, linguistics, art history, literary criticism, psychology and computer science, this dissertation concludes that the rhetorical devices that serve historians in depicting the past through MFAs are the same devices that have enabled institutions and individuals to construct identities for individuals. Thus, awareness of multiformity in the past and its representation increases the effectiveness of using MFAs, as it illuminates the ideologies and playfulness that prevail between words and images

ECSCW 2013 Adjunct Proceedings The 13th European Conference on Computer Supported Cooperative Work 21 - 25. September 2013, Paphos, Cyprus

This volume presents the adjunct proceedings of ECSCW 2013.While the proceedings published by Springer Verlag contains the core of the technical program, namely the full papers, the adjunct proceedings includes contributions on work in progress, workshops and master classes, demos and videos, the doctoral colloquium, and keynotes, thus indicating what our field may become in the future

Semantic technologies: from niche to the mainstream of Web 3? A comprehensive framework for web Information modelling and semantic annotation

Context: Web information technologies developed and applied in the last decade have considerably changed the way web applications operate and have revolutionised information management and knowledge discovery. Social technologies, user-generated classification schemes and formal semantics have a far-reaching sphere of influence. They promote collective intelligence, support interoperability, enhance sustainability and instigate innovation. Contribution: The research carried out and consequent publications follow the various paradigms of semantic technologies, assess each approach, evaluate its efficiency, identify the challenges involved and propose a comprehensive framework for web information modelling and semantic annotation, which is the thesis’ original contribution to knowledge. The proposed framework assists web information modelling, facilitates semantic annotation and information retrieval, enables system interoperability and enhances information quality. Implications: Semantic technologies coupled with social media and end-user involvement can instigate innovative influence with wide organisational implications that can benefit a considerable range of industries. The scalable and sustainable business models of social computing and the collective intelligence of organisational social media can be resourcefully paired with internal research and knowledge from interoperable information repositories, back-end databases and legacy systems. Semantified information assets can free human resources so that they can be used to better serve business development, support innovation and increase productivity

Challenges to knowledge representation in multilingual contexts

To meet the increasing demands of the complex inter-organizational processes and the demand for continuous innovation and internationalization, it is evident that new forms of organisation are being adopted, fostering more intensive collaboration processes and sharing of resources, in what can be called collaborative networks (Camarinha-Matos, 2006:03). Information and knowledge are crucial resources in collaborative networks, being their management fundamental processes to optimize. Knowledge organisation and collaboration systems are thus important instruments for the success of collaborative networks of organisations having been researched in the last decade in the areas of computer science, information science, management sciences, terminology and linguistics. Nevertheless, research in this area didn’t give much attention to multilingual contexts of collaboration, which pose specific and challenging problems. It is then clear that access to and representation of knowledge will happen more and more on a multilingual setting which implies the overcoming of difficulties inherent to the presence of multiple languages, through the use of processes like localization of ontologies. Although localization, like other processes that involve multilingualism, is a rather well-developed practice and its methodologies and tools fruitfully employed by the language industry in the development and adaptation of multilingual content, it has not yet been sufficiently explored as an element of support to the development of knowledge representations - in particular ontologies - expressed in more than one language. Multilingual knowledge representation is then an open research area calling for cross-contributions from knowledge engineering, terminology, ontology engineering, cognitive sciences, computational linguistics, natural language processing, and management sciences. This workshop joined researchers interested in multilingual knowledge representation, in a multidisciplinary environment to debate the possibilities of cross-fertilization between knowledge engineering, terminology, ontology engineering, cognitive sciences, computational linguistics, natural language processing, and management sciences applied to contexts where multilingualism continuously creates new and demanding challenges to current knowledge representation methods and techniques. In this workshop six papers dealing with different approaches to multilingual knowledge representation are presented, most of them describing tools, approaches and results obtained in the development of ongoing projects. In the first case, Andrés Domínguez Burgos, Koen Kerremansa and Rita Temmerman present a software module that is part of a workbench for terminological and ontological mining, Termontospider, a wiki crawler that aims at optimally traverse Wikipedia in search of domainspecific texts for extracting terminological and ontological information. The crawler is part of a tool suite for automatically developing multilingual termontological databases, i.e. ontologicallyunderpinned multilingual terminological databases. In this paper the authors describe the basic principles behind the crawler and summarized the research setting in which the tool is currently tested. In the second paper, Fumiko Kano presents a work comparing four feature-based similarity measures derived from cognitive sciences. The purpose of the comparative analysis presented by the author is to verify the potentially most effective model that can be applied for mapping independent ontologies in a culturally influenced domain. For that, datasets based on standardized pre-defined feature dimensions and values, which are obtainable from the UNESCO Institute for Statistics (UIS) have been used for the comparative analysis of the similarity measures. The purpose of the comparison is to verify the similarity measures based on the objectively developed datasets. According to the author the results demonstrate that the Bayesian Model of Generalization provides for the most effective cognitive model for identifying the most similar corresponding concepts existing for a targeted socio-cultural community. In another presentation, Thierry Declerck, Hans-Ulrich Krieger and Dagmar Gromann present an ongoing work and propose an approach to automatic extraction of information from multilingual financial Web resources, to provide candidate terms for building ontology elements or instances of ontology concepts. The authors present a complementary approach to the direct localization/translation of ontology labels, by acquiring terminologies through the access and harvesting of multilingual Web presences of structured information providers in the field of finance, leading to both the detection of candidate terms in various multilingual sources in the financial domain that can be used not only as labels of ontology classes and properties but also for the possible generation of (multilingual) domain ontologies themselves. In the next paper, Manuel Silva, António Lucas Soares and Rute Costa claim that despite the availability of tools, resources and techniques aimed at the construction of ontological artifacts, developing a shared conceptualization of a given reality still raises questions about the principles and methods that support the initial phases of conceptualization. These questions become, according to the authors, more complex when the conceptualization occurs in a multilingual setting. To tackle these issues the authors present a collaborative platform – conceptME - where terminological and knowledge representation processes support domain experts throughout a conceptualization framework, allowing the inclusion of multilingual data as a way to promote knowledge sharing and enhance conceptualization and support a multilingual ontology specification. In another presentation Frieda Steurs and Hendrik J. Kockaert present us TermWise, a large project dealing with legal terminology and phraseology for the Belgian public services, i.e. the translation office of the ministry of justice, a project which aims at developing an advanced tool including expert knowledge in the algorithms that extract specialized language from textual data (legal documents) and whose outcome is a knowledge database including Dutch/French equivalents for legal concepts, enriched with the phraseology related to the terms under discussion. Finally, Deborah Grbac, Luca Losito, Andrea Sada and Paolo Sirito report on the preliminary results of a pilot project currently ongoing at UCSC Central Library, where they propose to adapt to subject librarians, employed in large and multilingual Academic Institutions, the model used by translators working within European Union Institutions. The authors are using User Experience (UX) Analysis in order to provide subject librarians with a visual support, by means of “ontology tables” depicting conceptual linking and connections of words with concepts presented according to their semantic and linguistic meaning. The organizers hope that the selection of papers presented here will be of interest to a broad audience, and will be a starting point for further discussion and cooperation

Register: Language Users’ Knowledge of Situational-Functional Variation

The Collaborative Research Center 1412 “Register: Language Users’ Knowledge of Situational-Functional Variation” (CRC 1412) investigates the role of register in language, focusing in particular on what constitutes a language user’s register knowledge and which situational-functional factors determine a user’s choices. The following paper is an extract from the frame text of the proposal for the CRC 1412, which was submitted to the Deutsche Forschungsgemeinschaft in 2019, followed by a successful onsite evaluation that took place in 2019. The CRC 1412 then started its work on January 1, 2020. The theoretical part of the frame text gives an extensive overview of the theoretical and empirical perspectives on register knowledge from the viewpoint of 2019. Due to the high collaborative effort of all PIs involved, the frame text is unique in its scope on register research, encompassing register-relevant aspects from variationist approaches, psycholinguistics, grammatical theory, acquisition theory, historical linguistics, phonology, phonetics, typology, corpus linguistics, and computational linguistics, as well as qualitative and quantitative modeling. Although our positions and hypotheses since its submission have developed further, the frame text is still a vital resource as a compilation of state-of-the-art register research and a documentation of the start of the CRC 1412. The theoretical part without administrative components therefore presents an ideal starter publication to kick off the CRC’s publication series REALIS. For an overview of the projects and more information on the CRC, see https://sfb1412.hu-berlin.de/

Player agency in interactive narrative: audience, actor & author

The question motivating this review paper is, how can computer-based interactive narrative be used as a constructivist learn- ing activity? The paper proposes that player agency can be used to link interactive narrative to learner agency in constructivist theory, and to classify approaches to interactive narrative. The traditional question driving research in interactive narrative is, ‘how can an in- teractive narrative deal with a high degree of player agency, while maintaining a coherent and well-formed narrative?’ This question derives from an Aristotelian approach to interactive narrative that, as the question shows, is inherently antagonistic to player agency. Within this approach, player agency must be restricted and manip- ulated to maintain the narrative. Two alternative approaches based on Brecht’s Epic Theatre and Boal’s Theatre of the Oppressed are reviewed. If a Boalian approach to interactive narrative is taken the conflict between narrative and player agency dissolves. The question that emerges from this approach is quite different from the traditional question above, and presents a more useful approach to applying in- teractive narrative as a constructivist learning activity

Computational consumption: social media and the construction of digital consumers

The abundance of social data and the constant development of new models of personalized suggestions are rewriting the way in which consumption is experienced. Not only are consumers now immersed in an information mediated context - decoupled from physical and socio-cultural constrains - but they also experience other consumers and themselves differently, embracing the prescriptions of a technological medium made by algorithmic suggestions and software instructions. A single case study of a social shopping platform in its start up phase has served as the empirical object of this thesis. The company investigated represents a typical case in the field of data driven consumption. The case has been conducted following the company’s infrastructure design and implementation for over a year. The analysis of the case has revealed the distinctive computational logic embedded in the platform system. The system uses the data produced by user selection as representation of consumer choice. On this account it structures social and individual consumption patterns and computes personalized suggestion. This study shows that technological information and software systems disassemble traditional practices of consumption and reassemble consumers in new and unseen ways. The research investigates technology’s role as a medium, by exposing and deconstructing the processes through which data aggregation and personalization mechanics reconfigure discovery, selection and experience of fashion. This thesis illustrates how consumption is now produced on the basis of social data structuration and how consumers are constructed out of data assemblages. Consumers select products they are suggested to like or expected to buy reacting to what social media platforms construct, compute, and fed back to them. Personalization allows consumers to see themselves as individual against the background of a computed sociality. Ultimately thus, the study discusses the impact of computational consumption as individuation process, considering its implications for consumer identity articulation and marketing practices