LIDAGRAPH is a company specializing in consulting services and architectural solutions in the fields of semantic technologies, knowledge graphs, and ontologies. Led by software engineer Georgy Litvinov, the team combines deep technical expertise with a practical understanding of the needs of researchers and academic institutions.
From project launch to system updates and administrative maintaining.
Creating a visual structure, intuitive navigation, and flexible interface layouts.
Providing the most effective solutions in the field of semantic system development and VIVO administration.
Assistance in transferring information between VIVO and other resources.
Search enhancements, custom authorization configuration, development on demand.
Setup and ongoing support of technical infrastructure.
For over 12 years, he headed the IT department at an academic institution. He has extensive experience in software development and specializes in architectural solutions for structuring, managing, storing, and migrating data.
He has contributed to numerous open source projects, such as LibreOffice, Open Journal System, and VIVO.
Over the years, he has successfully collaborated with academic institutions and implemented a variety of research projects based on semantic data.
Svetlana Rastegina is a qualified visual designer with extensive experience in graphic, product, and web design.
She has collaborated with academic institutions as a designer on various projects based on semantic knowledge. Her experience also includes the creation of complex marketing materials for promotion and analytics, among other this presentations and visual reports.
In her work, she is guided by the belief that design is not merely a matter of appearance, but a way of organizing information and shaping it into cohesive form.
By providing tools for information sharing and communication, CRIS facilitates collaboration among researchers and institutions, enabling easier exchanging of ideas, data and resources.
CRIS provides a single platform for storing and managing all research-related materials, including person data, publications, and project documentation, simplifying access and organization.
By indexing and categorizing research outputs, semantic systems improve the discoverability of information, helping researchers find relevant articles, datasets, and collaboration more effectively.
As your research and business grow, the semantic systems scale with your needs. It effectively processes growing volumes of data while ensuring fast access and systematization.