Date of Graduation


Document Type


Degree Name

Doctor of Philosophy in Engineering (PhD)

Degree Level



Computer Science & Computer Engineering


John Gauch

Committee Member

Khoa Luu

Second Committee Member

Wing Ning Li

Third Committee Member

David Fredrick


Computer Vision, Image Processing, Natural Language Processing, Pompeii, Software Interactive Tool, Transfer Learning


In this dissertation, we present and analyze the technology used in the making of PPMExplorer: Search, Find, and Explore Pompeii. PPMExplorer is a software tool made with data extracted from the Pompei: Pitture e Mosaic (PPM) volumes. PPM is a valuable set of volumes containing 20,000 historical annotated images of the archaeological site of Pompeii, Italy accompanied by extensive captions. We transformed the volumes from paper, to digital, to searchable. PPMExplorer enables archaeologist researchers to conduct and check hypotheses on historical findings. We present a theory that such a concept is possible by leveraging computer generated correlations between artifacts using image data, text data, and a combination of both. The acquisition and interconnection of the data are proposed and executed using image processing, natural language processing, data mining, and machine learning methods.