Multimodal Data Representation Models for Virtual, Remote, and Mixed Laboratories Development
| Autor: | Yevgeniya Sulema, Ivan Dychka, Olga Sulema |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Immersive technology
Development (topology) Human–computer interaction Computer science Multimodal data 020208 electrical & electronic engineering 05 social sciences 0202 electrical engineering electronic engineering information engineering Representation (systemics) 050301 education 02 engineering and technology External Data Representation 0503 education |
| Zdroj: | Lecture Notes in Networks and Systems ISBN: 9783319956770 REV |
| DOI: | 10.1007/978-3-319-95678-7_62 |
| Popis: | The main objective of the research presented in this paper is to provide developers of virtual, remote, and mixed laboratories with the powerful instrument for data representation. The data sets are supposed to have multimodal nature. Three models for multimodal data representation are presented and discussed in the paper. These models are the Muxel Model, the Multilevel Ontological Model, and the Spatio-Temporal Linked Model. The use of these models for implementation of different types of laboratories is discussed as well. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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