22,549 research outputs found

    Image annotation with Photocopain

    Get PDF
    Photo annotation is a resource-intensive task, yet is increasingly essential as image archives and personal photo collections grow in size. There is an inherent conflict in the process of describing and archiving personal experiences, because casual users are generally unwilling to expend large amounts of effort on creating the annotations which are required to organise their collections so that they can make best use of them. This paper describes the Photocopain system, a semi-automatic image annotation system which combines information about the context in which a photograph was captured with information from other readily available sources in order to generate outline annotations for that photograph that the user may further extend or amend

    Automatic extraction of knowledge from web documents

    Get PDF
    A large amount of digital information available is written as text documents in the form of web pages, reports, papers, emails, etc. Extracting the knowledge of interest from such documents from multiple sources in a timely fashion is therefore crucial. This paper provides an update on the Artequakt system which uses natural language tools to automatically extract knowledge about artists from multiple documents based on a predefined ontology. The ontology represents the type and form of knowledge to extract. This knowledge is then used to generate tailored biographies. The information extraction process of Artequakt is detailed and evaluated in this paper

    Show or tell? Opportunities, problems and methods of the exhibition as a form of research dissemination

    Get PDF
    There has a been a good deal of debate about the possible use of exhibitions in disseminating research, as an alternative to conventional text papers where artefacts have a significant role in the research The European Academy of Design has been a pioneer in this area but, so far, there has been little documentation of this practice or constructive reflection to support future development. The authors were responsible for the organisation of an exhibition of research work at the 2002 "Common Ground" Conference of the Design Research Society. Their role included mentoring the exhibitors, making the practical arrangements for the exhibition and organising refereeing of exhibits by an international panel of referees. The exhibition demonstrated the potential for new forms of research dissemination but also highlighted a number of problems and issues which must be dealt with if future exhibitions are to provide a robust and appropriate way to present and record research outcomes. The reflections of the organisers, and comments of referees and exhibitors are employed in this paper to develop guidelines for future practice in research exhibitions, paying particular attention to the importance of providing a full narrative within the exhibit and a permanent record, and ways that exhibitions might change the format of conferences to allow more constructive engagement between participants. </p

    Computational Models (of Narrative) for Literary Studies

    Get PDF
    In the last decades a growing body of literature in Artificial Intelligence (AI) and Cognitive Science (CS) has approached the problem of narrative understanding by means of computational systems. Narrative, in fact, is an ubiquitous element in our everyday activity and the ability to generate and understand stories, and their structures, is a crucial cue of our intelligence. However, despite the fact that - from an historical standpoint - narrative (and narrative structures) have been an important topic of investigation in both these areas, a more comprehensive approach coupling them with narratology, digital humanities and literary studies was still lacking. With the aim of covering this empty space, in the last years, a multidisciplinary effort has been made in order to create an international meeting open to computer scientist, psychologists, digital humanists, linguists, narratologists etc.. This event has been named CMN (for Computational Models of Narrative) and was launched in the 2009 by the MIT scholars Mark A. Finlayson and Patrick H. Winston1

    Learning recursively: integrating PBL as an authentic problem experience [Plenary presentation]

    Get PDF
    [Abstract]: Problem based learning (PBL) is widely recognised as a desirable approach to education of future professionals. One strong basis for its appeal is the use of authentic problems of practice, which make the relevance of what is being learned apparent to the learners and encourage development of attitudes and skills that will be central to continuing professional growth beyond graduation. However, the change from traditional lecture-based courses to PBL presents challenges to educators and the institutions in which they work. In many respects, the implementation of PBL can be itself an experience in PBL for the educator. This presentation will address some of the challenges associated with integrating PBL in a university setting from the perspective of those who design and teach courses using PBL, which will be understood as a spectrum of practices rather than a single approach that must be replicated in every instance

    DocuDrama

    Get PDF
    This paper presents an approach combining concepts of virtual storytelling with cooperative processes. We will describe why storytelling is relevant in cooperation support applications. We will outline how storytelling concepts provide a new quality for groupware applications. Different prototypes illustrate a combination of a groupware application with various storytelling components in a Theatre of Work
    corecore