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This study presents a method for the storage of data organized in digital documents, which is proven in practice. The discussed method does not bear any disadvantages of the relational model used for data organization, such as the loss of data context and complications evoked by the lack of data redundancy. The method presented here can be used for data organization into documents (digital and paper) as classified aggregates and for data classification. The study also describes a new metamodel for the data structure which assumes that documents, being data structures, form compact aggregates, classified as objects, or event descriptions, thus always assigning them a specific and unambiguous context. Furthermore, the study presents a design method for documents as context aggregates that allows leveling the disadvantages of the relational model and ensures efficient information management. The work also contains practical examples of the application of the described method.
Digital Documents as Data Carriers and a Method of Data Management Guaranteeing the Unambiguity of the Recorded Information: Ontology-Oriented Data Management and Document Databases
The work is an attempt to systematise the use of key OMG.org notations in the process of system analysis and design. Under the term. and UML of knowledge in the field of object-oriented analysis and design and the notation systems used in this area. The author pays special attention to the differences between data-and responsibility-oriented design methods (chapter Analysis and object-oriented design). The following section describes the conceptual basis described in the SBVR, MOF, MDA specifications and the modelling method using UML notation. The author argues that ontology is not a model of the world, it only describes it.