HeritageGraph: Illuminating Cultural Legacies Through Knowledge Graphs
Cultural heritage embodies the collective memory, identity, and wisdom of humanity, thereby influencing our present and future and providing invaluable insights into our shared past. It is essential to digitize cultural heritage in order to guarantee its accessibility, preservation, and ongoing significance in the digital age. Through the process of digitizing artifacts, documents, and traditions, we effectively protect them from physical degradation and loss. Additionally, this democratizes access to invaluable cultural assets, allowing for greater engagement and education from a wider audience. In addition, digitalization enables the advancement of interdisciplinary research, collaboration, and innovation, thereby providing novel opportunities to comprehend and interpret our cultural heritage. By digitizing cultural heritage, its fundamental nature is safeguarded for future generations, cultural comprehension and exchange is promoted, and present and future generations are enabled to reconnect with their origins and chart new courses.
In this project, we aim to digitalize the cultural heritage (or cultural heritage-related information) using knowledge graphs (KGs). KGs allow complex information to be captured in a format that is both machine-readable and human-comprehensible. Furthermore, KGs provide a powerful visual representation of interconnected concepts, entities, and relationships, enabling meaningful insights derived from disparate data sources.
In this project, we focus on creating a machine-processable knowledge representation of the Nepalese cultural heritage.
Github: CHLOD GitHub
Persons Involved: