2016/08/23 by Aybüke Öztürk, Aybükë Oztürk, Oztürk, Aybükë +9
Arts and Humanities · Computer Science · Earth and Planetary Sciences · #3D Surveying and Cultural Heritage #Cultural Heritage Materials Analysis #Databases (cs.DB) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #cs.DB
paper · pdf · doi:10.48550/arxiv.1608.06469
9th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2015), Nov 2015, Larnaca, Cyprus. Springer, Proceedings of the 9th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2015), 9405, pp.226-239, 2015, Lecture Notes in Artificial Intelligence
arxiv created 2016/08/23 · openalex publication_date 2016/08/23 · arxiv updated 2016/08/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Data organization is a difficult and essential component in cultural heritage applications. Over the years, a great amount of archaeological ceramic data have been created and processed by various methods and devices. Such ceramic data are stored in databases that concur to increase the amount of available information rapidly. However , such databases typically focus on one type of ceramic descriptors, e.g., qualitative textual descriptions, petrographic or chemical analysis results, and do not interoperate. Thus, research involving archaeological ceramics cannot easily take advantage of combining all these types of information. In this application paper, we introduce an evolution of the Ceramom database that includes text descriptors of archaeological features, chemical analysis results, and various images, including petrographic and fabric images. To illustrate what new analyses are permitted by such a database, we source it to a data warehouse and present a sample on-line analysis processing (OLAP) scenario to gain deep understanding of ceramic context.