TY - JOUR
T1 - A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems
AU - Vassilakis, Costas
AU - Kotis, Konstantinos
AU - Spiliotopoulos, Dimitris
AU - Margaris, Dionisis
AU - Kasapakis, Vlasios
AU - Anagnostopoulos, Christos-nikolaos
AU - Santipantakis, Georgios
AU - Vouros, George A.
AU - Kotsilieris, Theodore
AU - Petukhova, Volha
AU - Malchanau, Andrei
AU - Lykourentzou, Ioanna
AU - Helin, Kaj Michael
AU - Revenko, Artem
AU - Gligoric, Nenad
AU - Pokric, Boris
PY - 2020/6
Y1 - 2020/6
N2 - 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
AB - 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
KW - intelligent interaction
KW - semantics
KW - usability
KW - mixed reality
KW - cultural experience
UR - http://www.scopus.com/inward/record.url?scp=85090604916&partnerID=8YFLogxK
U2 - 10.3390/bdcc4020006
DO - 10.3390/bdcc4020006
M3 - Article
SN - 2504-2289
VL - 4
SP - 1
EP - 22
JO - Big Data and Cognitive Computing
JF - Big Data and Cognitive Computing
IS - 2
M1 - 6
ER -