Open Source Python Distributed Computing Software

Everyday life history is becoming of high interest due to the growing amount of various historical sources related to common human being. Analysis of such sources needs considering them as interrelated. Evaluation of such relations leads to meaningful results for different groups of information consumers: from professional historians and experts from close humanitarian sciences to common people, interested in everyday community life. Corpuses of everyday life history sources are being collected in many museums and document archives. In this project, we consider the problem of creating software infrastructure for collaborative semantic annotation, information relation, and personalized access to corpus of everyday life history sources. Project financially supported from Department for Humanities of Russian Fund for Basic Research according to project # 16-01-12033. Authors: Vdovenko A., Marchenkov S., Petrina O., Korzun D.