Heri-Graphs: A Dataset Creation Framework for Multi-Modal Machine Learning on Graphs of Heritage Values and Attributes with Social Media
Values (why to conserve) and Attributes (what to conserve) are essential concepts of cultural heritage. Recent studies have been using social media to map values and attributes conveyed by the public to cultural heritage. However, it is rare to connect heterogeneous modalities of images, texts, geo-...
Main Authors: | Nan Bai, Pirouz Nourian, Renqian Luo, Ana Pereira Roders |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/11/9/469 |
Similar Items
-
“photosearcher” package in R: An accessible and reproducible method for harvesting large datasets from Flickr
by: Nathan Fox, et al.
Published: (2020-07-01) -
A Comprehensive Evaluation of Graph Kernels for Unattributed Graphs
by: Yi Zhang, et al.
Published: (2018-12-01) -
Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications
by: Hoseung Song, et al.
Published: (2021-05-01) -
MLSFF: Multi-level structural features fusion for multi-modal knowledge graph completion
by: Hanming Zhai, et al.
Published: (2023-06-01) -
An open dataset of data lineage graphs for data governance research
by: Yunpeng Chen, et al.
Published: (2024-03-01)