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A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems

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Department of Informatics and Telecommunications, University of the Peloponnese, 22100 Tripolis, Greece
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Department of Cultural Technology and Communication, University of the Aegean, 81100 Mitilene, Greece
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Department of Informatics and Telecommunications, University of Athens, 15772 Athens, Greece
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Department of Digital Systems, University of Piraeus, 18534 Piraeus, Greece
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Department of Business Administration, University of the Peloponnese, 24100 Kalamata, Greece
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Spoken Language Group, Saarland University, 66123 Saarland, Germany
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Department of Information and Computing Sciences, Utrecht University, 3584 CC Utrecht, The Netherlands
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Department of Human Factors, Virtual and Augmented Reality, VTT Technical Research Centre of Finland Ltd., 02044 Espoo, Finland
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Semantic Web Company, 1070 Vienna, Austria
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DNETLabs, DunavNet, 21000 Novi Sad, Serbia
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ARVRtech, WC1N 3AX London, UK
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Author to whom correspondence should be addressed.
Big Data Cogn. Comput. 2020, 4(2), 6; https://doi.org/10.3390/bdcc4020006
Received: 19 March 2020 / Revised: 5 April 2020 / Accepted: 14 April 2020 / Published: 20 April 2020
(This article belongs to the Special Issue Big Data Analytics for Cultural Heritage)
This paper presents SemMR, a semantic framework for modelling interactions between human and non-human entities and managing reusable and optimized cultural experiences, towards a shared cultural experience ecosystem that might seamlessly accommodate mixed reality experiences. The SemMR framework synthesizes and integrates interaction data into semantically rich reusable structures and facilitates the interaction between different types of entities in a symbiotic way, within a large, virtual, and fully experiential open world, promoting experience sharing at the user level, as well as data/application interoperability and low-effort implementation at the software engineering level. The proposed semantic framework introduces methods for low-effort implementation and the deployment of open and reusable cultural content, applications, and tools, around the concept of cultural experience as a semantic trajectory or simply, experience as a trajectory (eX-trajectory). The methods facilitate the collection and analysis of data regarding the behaviour of users and their interaction with other users and the environment, towards optimizing eX-trajectories via reconfiguration. The SemMR framework supports the synthesis, enhancement, and recommendation of highly complex reconfigurable eX-trajectories, while using semantically integrated disparate and heterogeneous related data. Overall, this work aims to semantically manage interactions and experiences through the eX-trajectory concept, towards delivering enriched cultural experiences. View Full-Text
Keywords: intelligent interaction; semantics; usability; mixed reality; cultural experience intelligent interaction; semantics; usability; mixed reality; cultural experience
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MDPI and ACS Style

Vassilakis, C.; Kotis, K.; Spiliotopoulos, D.; Margaris, D.; Kasapakis, V.; Anagnostopoulos, C.-N.; Santipantakis, G.; Vouros, G.A.; Kotsilieris, T.; Petukhova, V.; Malchanau, A.; Lykourentzou, I.; Helin, K.M.; Revenko, A.; Gligoric, N.; Pokric, B. A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems. Big Data Cogn. Comput. 2020, 4, 6. https://doi.org/10.3390/bdcc4020006

AMA Style

Vassilakis C, Kotis K, Spiliotopoulos D, Margaris D, Kasapakis V, Anagnostopoulos C-N, Santipantakis G, Vouros GA, Kotsilieris T, Petukhova V, Malchanau A, Lykourentzou I, Helin KM, Revenko A, Gligoric N, Pokric B. A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems. Big Data and Cognitive Computing. 2020; 4(2):6. https://doi.org/10.3390/bdcc4020006

Chicago/Turabian Style

Vassilakis, Costas; Kotis, Konstantinos; Spiliotopoulos, Dimitris; Margaris, Dionisis; Kasapakis, Vlasios; Anagnostopoulos, Christos-Nikolaos; Santipantakis, Georgios; Vouros, George A.; Kotsilieris, Theodore; Petukhova, Volha; Malchanau, Andrei; Lykourentzou, Ioanna; Helin, Kaj M.; Revenko, Artem; Gligoric, Nenad; Pokric, Boris. 2020. "A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems" Big Data Cogn. Comput. 4, no. 2: 6. https://doi.org/10.3390/bdcc4020006

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