Digital Archives Supporting Document Content Inference

Authoring documents is based on analysis of existing documents, collecting and processing their data, which is time consuming creative work. New documents may use parts of existing ones, e.g., header data, names of persons and titles of organizations, tabular data and their description, footers, etc. Semantic description of frequently used classes of documents allows simplifying the authoring process. The paper presents an approach to creation of open document catalogs that involves technologies of Linked Open Data, document templates, and logical inference for deducing parts of documents from data of the catalogs. The approach is being realized as open software toolset and services on the base of other open source systems. The software under development is used to construct information system components in various application areas, e.g., for synthesis educational processes regulations in departments of Irkutsk State University and organizations of joint accounting for source data collection.