Abstract

Author:

Wajid Ali, Nafia Ramzan, Shoaib Khalid, Fahad Maqbool, Muhammad Saad Razzaq, Waleed Ahmed

Doi: 10.26480/magg.01.2025.10.19

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Despite Pakistan’s rich and varied cultural past, individuals frequently have trouble locating reliable and timely information online. An all-encompassing and methodical approach to information representation is necessary due to the intricate and ever-changing character of Pakistani culture, which includes customs, dialects, food, and geographic variety. The Pakistan Culture Ontology seeks to provide comprehensive knowledge regarding diverse facets of Pakistani culture, fostering comprehension and mitigating cultural disparities and inter-provincial disputes. This ontology supports national pride and education by promoting positive conversations and communication, which in turn supports global heritage preservation and cultural diplomacy. Utilizing RDF (Resource Description Framework) and OWL (Web Ontology Language), the ontology makes use of Semantic Web 3.0 technologies and is created with the Protege tool. Classes, sub classes, object and data properties, annotations, and schema imports are used to organize knowledge in large-scale complex ontologies using the adaptable Neon methodology. Following a thorough representation of the knowledge, the ontology is assessed using pitfall checks and verified using user-submitted SPARQL queries pertaining to cultural subjects. The requirement for an authentic and systematic depiction of Pakistani culture is addressed by the first of its kind, the Pakistan Culture Ontology. Supporting several languages (Urdu, Sindhi, Pashto, and English) and attaining worldwide integration with other cultural, historical, and geographical ontologies are among the upcoming improvements. Plans call for applying AI and machine learning to cultural trend analysis, recommendation systems, and building large language models (LLMs) to respond to culturally sensitive queries. The ontology also envisions sophisticated data analytic tools, crowd sourcing for data validation, and immersive VR and AR experiences. Furthering curriculum development, cultural preservation, and growth into domains including cultural economics, governance, and tourism will be made possible by partnerships with museums, archives, educational institutions, researchers, and organizations.