| dc.description.abstract | A problem that exists in the Nautical Archaeology Digital Library at the Texas A&M University is that there is no easy way to organize a database of images incorporating good filtering, tagging, and large cropping capabilities. One goal of this research is to study and evaluate different web-based systems that will allow a community of scholars to upload and search images. It will allow the person uploading to assign metadata to the image/painting and also allow them to crop certain parts (the original will be preserved) of images to highlight and assign more metadata to the subpart(s). This metadata includes terms to categorize the ship or image, which enables filtering/searching capabilities. Furthermore, the system allows the admins to password-protect specific images, if needed. This system will also preserve images, with data, and provide a central place for images. Studying how this system can be implemented and how nautical archaeologists categorize ships will be very beneficial to the Nautical Archaeology community. This research is significant because it will help in building a central database for conservation of nautical archaeology evidence and items in one central database with metadata assigned to it. To provide long-term stability, this thesis also examines current cloud-based mechanism for hosting the site. This thesis also examines how data about ships with coordinates can be mapped to an easily accessible and editable map. | |
