Publications of Jérôme Darmont
Reference (inproceedings)
A. Öztürk, L. Eyango, S.Y. Waksman, S. Lallich, J. Darmont, "Warehousing Complex Archaeological Objects", 9th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 15), Larnaca, Cyprus, November 2015; Lecture Notes in Artificial Intelligence, Vol. 9405, Springer, Heidelberg, Germany, 226-239.
BibTeX entry
@INPROCEEDINGS{context15,
Author = {Aybüke Öztürk and Louis Eyango and Sylvie-Yona Waksman and Stéphane Lallich and Jérôme Darmont},
Title = {Warehousing Complex Archaeological Objects},
Booktitle = {9th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 15), Larnaca, Cyprus},
Month = {November},
Year = {2015},
Series = {Lecture Notes in Artificial Intelligence},
Volume = {9405},
Publisher = {Springer},
Address = {Heidelberg, Germany},
Pages = {226-239},
Abstract = {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.},
Keywords = {Archaeology, Archaeometry, Ceramics, Complex objects, Databases, Data Warehouses, OLAP}
}