Katalyxer presents an application of his technology metIdea™ enhancing Microsoft SQL Server Graph to manage the complexity of painting archives and his polysemantic challenges. metIdea™ is the Katalyxer patent-pending new technology enabling abstractions in entity-relationship models to build multidimensional semantics. The painting archive is part of a Proof of Concept demonstrating the advantages of the polysemantic paradigm comparing performances of different approaches: hierarchic, metadata, TAGs, knowledge graphs, and metIdea™ abstractions. During the presentation, Katalyxer will present examples of the challenges and results of knowledge representation quality and search for information.
Polysemantic models represent a challenge common in most entity-relationship applications, from cognitive maps to knowledge graphs. Katalyxer found one reason for the limits in the de facto flat semantic. In this presentation, we use a representative case of a painting archive with elements with multiple semantic values and correlations to demonstrate how abstractions can manage such complexity. metIdea™ is the Katalyxer patent-pending new technology enabling abstractions in entity-relationship models to build multidimensional semantics to overcome the limit of flat models (unique and multiple). The technology enables the representation of dependencies, correlations, and multiple aspects cohabiting, resulting in a richer knowledge representation and search capability. The example presented is based on the metIdea™ extension on Microsoft SQL Server Graph, thanks to his hybrid technology that permits to extend functionality as modeling, DB persistence, and programmability. The painting archive is part of a Proof of Concept demonstrating the advantages of the polysemantic paradigm comparing performances of different approaches: hierarchic, metadata, TAGs, knowledge graphs, and metIdea™ abstractions. Katalyxer will present some cases of semantic information complexities, how different environments support it, and the advantages of using abstractions in polysemantic representations. One of the focuses is demonstrating the advantages of metIdea™ in addressing multidimensional semantics, and his benefits respect flat models.
