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Data Mining Applied to Ancient Egypt Data in the Old Kingdom

Publication

Abstract

The interdisciplinary aimed project of Egyptological and cybernetic research team interfaces the methods of systematic data collecting and complex network analysis with punctuated equilibrium theory. A continuously filled database Maat-base of officials and their administrative titles comprises the data of prosopographical, administrative and genealogic character.

The results provide new possibilities of understanding of social and administrative development, and also enable a detection of social processes and changes of the ancient Egyptian state in the Old Kingdom period (2700-2180 BC). We utilize all available well-established and sound techniques used in data gathering as applied for example in business intelligence in components of a data warehouse, business analytics, or ontology based knowledge management covering activities such as specification of database scheme, links to raw sources and other master data managements techniques, sorts of entities and relationships and other techniques belonging to a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information, methodologies of data warehouse creation, standardization, cleansing (detection and correction of inaccurate data), data profiling (e.g. inappropriate value, null/empty value checking) and modifications, data consistency, completeness, referential integrity checking procedures.

In our contribution we focus on description of basic principles of the created ontology and it is reflected by the database schema of the Maat-base.