Abstract
In this paper, we present the web-based, open source software OpenAtlas, which uses the International Council of Museums’ Conceptual Reference Model (CIDOC CRM), and its possible future potential for the acquisition, analysis and dissemination of a wide range of archaeological and historical data on a landscape basis. To this end, we will first introduce the ongoing research project The Anthropological and Archaeological Database of Sepultures (THANADOS), built upon OpenAtlas, as well as its data model and interactive web interface/presentation frontend. Subsequently, the article will then discuss the possible extension of this database of early medieval cemeteries with regard to the integration of further archaeological structures (e.g., medieval settlements, fortifications, field systems and traffic routes) and other data, such as historical maps, aerial photographs and airborne laser scanning data. Finally, the paper will conclude with the general added value for future research projects by such a collaborative and web-based approach.
Highlights
Archaeological research has seen a constantly increasing integration of new methods, tools and techniques, such as web GIS, online databases and large-scale archaeological prospection in recent years [1,2,3,4,5,6,7,8,9,10]
Further data on several deserted medieval villages from Lower Austria were used to test the mapping of smaller individual settlements using OpenAtlas
OpenAtlas [1,16] and the THANADOS frontend already offer to do many of these tasks, such as the mapping of archaeological structures via polygons or advanced data querying and visualization, online via a web browser and specially tailored to the needs of historical/archaeological research
Summary
Archaeological research has seen a constantly increasing integration of new methods, tools and techniques, such as web GIS, online databases and large-scale archaeological prospection in recent years [1,2,3,4,5,6,7,8,9,10] This has led to countless new discoveries and deeper insights into known archaeological sites, including the consideration of the surrounding landscape on the basis of ever-growing areas and datasets [11,12,13,14,15]. In order to prepare these data sustainably and properly for unforeseen future applications, a clear data structure based on common, internationally recognized data standards is essential
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