T. Kiani
Abstract
Modern data storage and communication technology has created an opportunity to rethink the manner in which geosciences information is archived and presented. The Geosciences Database must provide a mechanism to allow rapid access to up-to-date geosciences data in a form tailored to the needs of the user ...
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Modern data storage and communication technology has created an opportunity to rethink the manner in which geosciences information is archived and presented. The Geosciences Database must provide a mechanism to allow rapid access to up-to-date geosciences data in a form tailored to the needs of the user requesting the data. The data model underlying this database must be flexible enough to encompass a wide range of earth science information, storing it in such a fashion that advances in Earth science do not obsolete the database. One of the major goals of a geosciences data model is to simplify the process of generating derivative maps tailored to specific needs e.g. tectonic analysis, hazard assessment, mineral exploration. Such data may need to be based on information from many sources. Presently, in the derivative maps are usually compiled by manually extracting (i.e. tracing on paper) information from a number of printed maps, probably generated by different people with different motivations at different scales, and graphically combining the information (i.e. redrafting) into a single, derivative map. The goal of the geosciences conceptual data model is to provide basic information from a variety of sources in a consistent, flexible, and searchable structure. In this research, regarding the importance of the maps in data interpretation of geosciences, geological maps is the base for the conceptual data models. Using this base, required domains is defined. The model outlined here provides a conceptual framework that could accommodate newly acquired field data or data mined from previously published sources into a common framework.
