MA²KG

This project contains the core ontologies, RDF dataset and scripts used for developing the Martial Art MAsters Knowledge Graph (MA²KG).

Suggested citation:

Hou, Yumeng, and Lin Yuan. "Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data." Journal of Open Humanities Data 9 (2023).

BibTeX

@article{hou2023building, title={Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data}, author={Hou, Yumeng and Yuan, Lin}, journal={Journal of Open Humanities Data}, volume={9}, year={2023} }

Ontologies

MAon

The Martial Art Ontology (MAon) describes martial arts as an entity of embodied knowledge with a conceptual space incorporating three dimensions: the kinesthetic, stylistic, and social dimensions. This work primarily utilizes the excerpts of the ontology with a concentration on the MA_Master class to articulate on the role of people in transmitting and (re)developing different styles.

/core_ontologies/hkmalakg

The ontology, devised from MAon, is tuned for describing the archival items in the Hong Kong Martial Arts Living Archive (HKMALA).

Knowledge graph (KG) instantiation

/data/hkmalakg_wiki.ttl

This file contains the master-centric RDF instantiation for the MA²KG, in TTL syntax, by integrating data from multiple, multilingual sources, e.g., Wikidata, Baidu Baike, the Hong Kong Martial Arts Living Archive, and manual annotations. Data acquisition was performed based on the MAon ontological framework.

Martial Art MAsters Knowledge Graph (MA2KG) Version 1.0 Doc

Scripts

/scripts

This folder contains the technical details with ready-to-use scripts for re-producing the KG construction acquisition and inference process.

Dataset creators

Lin Yuan (Investigation, Transcription, Implementation).

Yumeng Hou (Design, Transcription, Organisation, Supervision).

License

This project is licensed under the terms of the MIT license.