Comprehensive and Scalable Appraisals of Contemporary Documents

This book chapter describes problems related to contemporary document analyses. Contemporary documents contain multiple digital objects of different type. These digital objects have to be extracted from document containers, represented as data structures, and described by features suitable for comparing digital objects. In many archival and machine learning applications, documents are compared by using multiple metrics, checked for integrity and authenticity, and grouped based on similarity. The objective of our book chapter is to describe methodologies for contemporary document processing, visual exploration, grouping and integrity verification, as well as to include computational scalability challenges and solutions.