4 research outputs found

    WoTEdu: A Multimodal Interactive Storytelling System

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    This paper presents WoTEdu, a multimodal interactive storytelling system in the Nautical Cultural Heritage domain. The storytelling system is based on the Web of Things (WoT) paradigm and facilitates the museum visitors' interaction with museum artefacts. Multiple interaction modalities supported by the system allow people with motor impairment to experience the story through alternative input channels

    Sail with columbus: Navigation through tangible and interactive storytelling

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    "Sail with Columbus"is an interactive and tangible storytelling project designed for a Nautical Museum. Its goal is to communicate to the museum visitors how the medieval men sailed in the past. We aim to reach this goal thanks to the interaction between participants and several augmented objects. Communicating a complex cultural practice, such as the art of navigation in the past, is a new challenge in the Tangible Narratives field. This raised requirements and research issues that the project tried to address. In this paper we present the conceptual design, the project mock-up and its preliminary evaluation

    Digital Storytelling in a Museum Application Using the Web of Things

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    The traditional notion of museum has changed. Museums\u2019 mute character is transformed into storytellers that communicate experience to their audience. Innovative technologies enhance the interactivity of storytelling and enable the audience to experience learning and entertainment. In this paper, we present WoTEdu, an interactive storytelling project based on the Web of Things (WoT) paradigm. WoTEdu enhances the audience edutainment experience through interaction with museum artefacts

    Knowledge graphs evolution and preservation

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    One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR Knowledge Graph of Everything: We increasingly see the creation of knowledge graphs that capture information about the entirety of a class of entities. [...] This grand challenge extends this further by asking if we can create a knowledge graph of "everything" ranging from common sense concepts to location based entities. This knowledge graph should be "open to the public" in a FAIR manner democratizing this mass amount of knowledge." Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything. Surely, LOD provides a unique testbed for experimenting and evaluating research hypotheses on open and FAIR KG. One of the most neglected FAIR issues about KGs is their ongoing evolution and long term preservation. We want to investigate this problem, that is to understand what preserving and supporting the evolution of KGs means and how these problems can be addressed. Clearly, the problem can be approached from different perspectives and may require the development of different approaches, including new theories, ontologies, metrics, strategies, procedures, etc. This document reports a collaborative effort performed by 9 teams of students, each guided by a senior researcher as their mentor, attending the International Semantic Web Research School (ISWS 2019). Each team provides a different perspective to the problem of knowledge graph evolution substantiated by a set of research questions as the main subject of their investigation. In addition, they provide their working definition for KG preservation and evolution
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