The Global Rock-Art Database Project towards Machine Learning: Building a Collaborative Open Source Platform for Heritage Management from Information Structure to Information Visualization Using Australian Heritage Examples

Authors

Robert HaubtFollow

Published

28-1-2016

Type of Work

Presentation (Seminar, forum, etc)

Abstract

This guest talk, presented at Lava Lab at the University of Hawaiʻi, explores the intersection of collaboration, data ontology, and information visualization in advancing machine learning within the Global Rock Art Database project. Drawing on insights from the project’s first four years, the talk emphasizes the critical need for cultural heritage preservation by systematically recording and structuring global rock art data in accessible and sustainable ways. This effort not only supports public education on rock art but also facilitates scholarly research.

Key discussions include advancements in data ontology using the CIDOC Conceptual Reference Model (CIDOC CRM) for semantic data management and machine learning applications. The lecture also delves into methodologies for data extraction and visualization across diverse multimedia formats, including photogrammetry, GIS, photography, and video. Concluding with a call to action, the talk underscores the importance of further developing centralized, collaborative systems for rock art data conservation, leveraging ontological information management approaches to enhance global cultural heritage protection.

Notes

1. Access: 1 x file, 6.2MB, PDF Viewer

2. Related Resources: The Global Rock Art Database

3. Cited Works:

Haubt, R. A., & Taçon, P. S. (2016). A collaborative, ontological and information visualization model approach in a centralized rock art heritage platform. Journal of Archaeological Science: Reports, 10, 837-846.

Haubt, R. (2016). A radical collaborative approach: developing a model for learning theory, human-based computation and participant motivation in a rock-art heritage application. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3, 65-72.

Haubt, R. A. (2015). The global rock art database: developing a rock art reference model for the RADB system using the CIDOC CRM and Australian heritage examples. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 89-96.

Haubt, R. A. (2013). Virtual heritage archives: Building a centralized Australian rock art archive. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 319-324.

4. Other Notes: not applicable

Citation

Haubt, R. (2016). The Global Rock-Art Database Project towards Machine Learning: Building a Collaborative Open Source Platform for Heritage Management from Information Structure to Information Visualization Using Australian Heritage Examples. Guest Talk. LAVA, University of Hawaii. Manoa, HI, USA. Creo.