Multidimensional Analysis of Distributed Data Warehouse of Antiquity Information

Sun, Quanhong; Qi, Xu; Li, Qiaoqiao

doi:10.2174/1874110x01509010055

Cited by 2 publications

(1 citation statement)

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“…The result is called a cube (hypercube when the number of dimensions is greater than 3), where dimension values are coordinates that define a fact cell. There are a couple of interesting works done using OLAP analysis on archaeological data [20,21].…”

Section: Exploring Archaeological Ceramic Datamentioning

confidence: 99%

Warehousing Complex Archaeological Objects

Oztürk,

Eyango,

Waksman

et al. 2016

Preprint

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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 online analysis processing (OLAP) scenario to gain deep understanding of ceramic context.

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Section: Exploring Archaeological Ceramic Datamentioning

confidence: 99%