Redirigiendo al acceso original de articulo en 15 segundos...
ARTÍCULO
TITULO

A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems

Costas Vassilakis    
Konstantinos Kotis    
Dimitris Spiliotopoulos    
Dionisis Margaris    
Vlasios Kasapakis    
Christos-Nikolaos Anagnostopoulos    
Georgios Santipantakis    
George A. Vouros    
Theodore Kotsilieris    
Volha Petukhova    
Andrei Malchanau    
Ioanna Lykourentzou    
Kaj Michael Helin    
Artem Revenko    
Nenad Gligoric and Boris Pokric    

Resumen

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.

 Artículos similares

       
 
Moyang Wang, Yijun He, Huan Meng, Ye Zhang, Bao Zhu, Joseph Mango and Xiang Li    
Street space quality assessment refers to the extraction and appropriate evaluation of the space quality information of urban streets, which is usually employed to improve the quality of urban planning and management. Compared to traditional approaches r... ver más