Determination of geometric distortions when digitizing stitched books

Sivkov, Stepan; Vinokur, Aleksey; Arsentev, Dmitry; Arzamazov, Ivan; Simakov, Sergey

doi:10.1016/j.procs.2021.06.083

Cited by 1 publication

(1 citation statement)

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“…There have been several cases around the world showing the application of digital technology in the preservation and transmission of intangible cultural heritage in sports. For example, traditional sports have been recreated through VR technology to enable spectators to experience these cultural activities in an immersive way, and big data analytics have been utilized to study the dissemination and impact of traditional sports [14][15]. It is expected that in the future, the application of digital technology in the field of sports intangible cultural heritage will be more extensive and in-depth.…”

Section: Introductionmentioning

confidence: 99%

Classification and Value Assessment of Sports Intangible Cultural Heritage Resources Combined with Digital Technology

Zhang,

Ala

2024

Applied Mathematics and Nonlinear Sciences

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This paper is dedicated to designing and constructing a knowledge ontology framework for sports intangible cultural heritage (ICH) resources, aiming to support their preservation and inheritance by integrating and mining sports ICH resources. The study includes the collection of multiple data of sports ICH from various data sources, and constructing ICH knowledge ontology using CIDOC CRM metadata reference model and seven-step method. To enrich the content of the ontology, the TextRank algorithm is used to extract textual critical information and design a domain-specific NER model for sports NRL. In addition, the study adopts the VSM vector space model for text representation and uses an improved hierarchical classification model for text categorization to improve classification accuracy. The study also explores the similarity calculation of concepts in the sports NRM ontology and proposes a semantic similarity calculation formula based on the ontology concepts. Respondents’ willingness to pay was investigated through the conditional value method (CVM) to assess the value of sports NRM tourism resources. Finally, the influencing factors of respondents’ willingness to pay were analyzed using statistical analysis and Logistic regression model, and it was found that they were mainly influenced by the degree of understanding of sports non-heritage resources and the level of education. The results of this study not only provide theoretical and methodological support for the effective integration and excavation of sports non-heritage resources and a new perspective for their protection, inheritance and sustainable development.

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Section: Introductionmentioning

confidence: 99%