About the Journal

The Journal of Heritage Computing and Management Research is a peer-reviewed academic journal encourages interdisciplinary research that combines heritage studies with fields like computer science, archaeology, history, regional languages, literature and environmental science. Promoting collaborative projects between academic institutions, government bodies, and heritage organizations. Quarterly Publication after the peer review by editorial committee comprises of renowned academicians and industry professionals.

Objectives

Data-Driven Analysis with Interpretation and Insights

Utilizing big data analytics to interpret and manage heritage data, uncovering patterns and insights from large datasets. Applying artificial intelligence, machine learning, deep learning algorithms to classify, analyse, and predict trends in heritage data.

Heritage Management Practices

Research on developing and implementing policies for heritage conservation and management. Exploring sustainable practices in heritage management, including ecofriendly preservation techniques.

Integrating Traditional Knowledge

Investigate how traditional knowledge and practices can be integrated into modern heritage management strategies to enhance conservation efforts.

Technological Innovations

Investigating the use of emerging technologies such as augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) in heritage preservation and presentation. Developing digital platforms for sharing heritage information and resources with a global audience.

3D Laser Scanning: Captures detailed 3D models of artefacts, buildings, and sites, allowing for virtual reconstruction and analysis.

Photogrammetry: Uses photographs to create 3D models, useful for documenting large or complex objects.

Virtual and Augmented Reality: Virtual Reality (VR): Creates immersive experiences, allowing users to explore historical sites and artefacts in a virtual environment.

Augmented Reality (AR): Overlays digital information onto the real world, enhancing the visitor experience at heritage sites.

Geographic Information Systems (GIS): Spatial Analysis: Maps and analyzes the geographical distribution of cultural heritage sites, trade routes, and historical events. Digital Mapping: Provides interactive maps that can be used for educational and research purposes.

Digital Archives and Databases

Online Repositories: Digitizes and stores historical documents, photographs, and artifacts, making them accessible to researchers and the public.

Metadata and Annotation: Adds detailed descriptions and contextual information to digital records, improving search speed and understanding.

Text Mining and Natural Language Processing (NLP)

Text Analytics: Uses NLP to analyze and interpret historical texts, identifying patterns, themes, and linguistic features.

Machine Translation: Translates historical documents into modern languages, making them accessible to a wider audience.

Digital Preservation & Conservation Techniques: Applies digital tools to preserve fragile documents and artefacts, such as digitizing ancient manuscripts and using digital restoration techniques.

Long-Term Storage: Ensures that digital records are stored in formats that will remain accessible and readable in the future.

Interactive Exhibits and Educational Tools

Virtual Museums: Develops online exhibits that showcase cultural heritage, complete with interactive elements and educational resources.

Educational Platforms: Creates online courses and resources to teach about cultural heritage and history.

Public Participation: Engages the public in documenting and preserving cultural heritage through crowdsourcing projects and citizen science initiatives.

Collaborative Projects: Partners with local communities and organizations to gather and share cultural knowledge.