Update: The DOI of the archived data has changed: please use 10.5281/zenodo.5886867 when citing this work and disregard the old one. Thank you.
This is the development repository of the RDF and JSON-LD datasets describing the published media files of the Hong Kong Martial Arts Living Archive (HKMALA).
This effort is supported by CROSSINGS (Computational Interoperability For Intangible and Tangible Cultural Heritage). For more information visit CROSSINGS@EM+.
rdf- data describing the salient entities used in the Hakka Kung Fu domain, modelled using the Martial Arts ontologies of the CROSSINGS project.annotations- annotations in JSON-LD of media files representing HKMALA exhibits and published on http://hakkakungfu.com/exhibits/. These annotations reuse the entities from the datasets inrdfand are in the ELAN Annotation Format (EAF).
The latest version of the dataset distribution can be found at https://doi.org/10.5072/zenodo.970553 https://doi.org/10.5281/zenodo.5886867 - please use the new DOI when citing the dataset.
When citing this work in scholarly papers, please use the following BibTeX reference:
@inproceedings{dh2022:196,
author = {Davide Picca and Alessandro Adamou and Yumeng Hou and Mattia Egloff and Sarah Kenderdine},
booktitle = {Digital Humanities 2022 - Responding to Asian Diversity, Tokyo, Japan, 25-29 July 2022},
title = {Knowledge organization of the {Hong Kong Martial Arts Living Archive} to capture and preserve intangible cultural heritage},
year = {2022},
url = {https://dh2022.dhii.asia/abstracts/196}
}
This dataset by International Guoshu Association is licensed under CC BY-NC-SA 4.0. For any non-commercial use, you must retain this attribution to the International Guoshu Association. For more information, see the LICENSE file.
International Guoshu Association (IGA) is a non-profit organization dedicated to safeguarding the heritage of Chinese martial arts.
