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Distributed Meta-Le...
Distributed Meta-Learning for Context Based on Culture Heritage Collection Data in an Immersive Reality System
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- Rahmani Chianeh, Rahim (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Tienken, Susanne, 1972- (author)
- Stockholms universitet,Tyska
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(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- English.
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In: Procedia Computer Science. - : Elsevier BV. - 1877-0509. ; 210, s. 70-77
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- This article proposes a new workflow for Culture Heritage (CH) Collection Data in which distributed meta-learning with context-based fusion is required. The multidisciplinary research outlines a new paradigm for collaborative creation of a context- based data fusion CH workflow. Whose criterion restricts the search space to the cultural sector to include multiple other CH object types, texts and predominantly analyzes visualizations of CH object metadata. The approach promotes user-driven content creation and offsets economic models, thereby rewarding creators and performers. In response to these challenges, we propose a framework for bringing about massive and real-time presence and awareness on the Internet through an Internet of Things infrastructure to connect objects, context and intangible assets. We enable an online virtual world that incorporates proximity of pervasive information, objects, people, processes, data and places. Finally, we investigate some new ways to achieve immersive experiences via distributed meta-learning computing and point out the necessity to do more with regard to collaborative interaction creation.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- Distributed Data processing
- Creative technologies
- Distributed system
- Immersive participation
- IoT
- data- och systemvetenskap
- Computer and Systems Sciences
Publication and Content Type
- ref (subject category)
- art (subject category)
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