Discernible across the flux of history is a persistent trend: the proclivity of human groups to establish large-scale and durable political formations that rule over subject populations of different ethnicities, religions and cultures-in short, to build empires. On this narrow point, scholars appear to have achieved consensus. Such chronological and geographical scope, not to mention the range of disciplinary backgrounds and theoretical dispositions represented among our authors, is unusual in a book

A very large number of historical manuscript collections are available in image formats and require extensive manual processing in order to search through them. So, we propose and build a search engine for automatically storing, indexing and efficiently searching the manuscript images. Firstly, a handwritten text recognition technique is used to convert the images into textual representations. In the next steps, we apply the named entity recognition and historical knowledge graph to build a semantic search model, which can understand the user’s intent in the query and the contextual meaning of concepts in documents, to return correctly the transcriptions and their corresponding images for users.

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