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Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data Cover

Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data

By: Yumeng Hou and  Lin Yuan  
Open Access
|Nov 2023

Figures & Tables

johd-9-136-g1.png
Figure 1

Illustration of the engineering pipeline in building the MA2KG.

johd-9-136-g2.png
Figure 2

Schematic illustration of the Master module instantiated by the MA2KG.

johd-9-136-g6.png
Listing 1

Excerpt of the SPARQL template to construct a chain of Person entities.

Table 1

Essential structural metrics of the MA2KG dataset.

Nodes594
Master nodes241 (0.406)
Edges14,289
Master-related edges14,132 (0.989)
Nodes in the largest WCC448 (0.754)
Nodes in the largest SCC279 (0.470)
johd-9-136-g3.png
Figure 3

Visual implementation of MA2KG in Neo4j Bloom, where (1) the Search Bar enables natural-language keyword search using entity names, pre-scripted tags or query blocks; (2) the Node Inspection panel presents descriptive information about a selected node and is extensible to accommodate complete ontological annotations; (3) the Graph Panel visualises the queried sub-graph; and (4) the Legend Panel provides flexibility to adjust the styling features according to visual attributes.

johd-9-136-g4.png
Figure 4

The master-style lineage diagram of the Wing Chun style, as computed from the MA2KG.

Table 2

The most influential masters in the MA2KG based on three distinct metrics.

MASTERDEGREEPAGERANKPAGEVIEW
Wong Fei-Hung1730.16155,375
Leung Sheung1650.245,062
Lam Sai-Wing1580.1815,214
Ip Man1440.351,306,847
Bruce Lee1270.446,238,349
Tung Ying-Chieh222.672,830
johd-9-136-g5.png
Figure 5

Illustration of explicit and implicit relationships connected to Master Wong Shun Leung.

DOI: https://doi.org/10.5334/johd.136 | Journal eISSN: 2059-481X
Language: English
Submitted on: Aug 22, 2023
Accepted on: Oct 12, 2023
Published on: Nov 24, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Yumeng Hou, Lin Yuan, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.