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Big Data Analytics for Cultural Heritage

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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

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Series Title

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Call Number

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Publisher

: MDPI - Multidisciplinary Digital Publishing Institute., 2023

Collation

210

Language

English

ISBN/ISSN

9783036563268

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Analytics for Cultural Heritage

Specific Detail Info

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Statement of Responsibility

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Other Information

Cataloger

Angga

Source

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Validator

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Digital Object Identifier (DOI)

https://mdpi.com/books/pdfview/book/6689

Journal Volume

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