Sciamlab - Smart View

Customer challenges

Difficulty in visually representing complex conceptual structures.
Need for an accessible tool to clearly explore SIDOC’s filtered and structured data.
Lack of a user-friendly interface for analysing semantic relationships and agricultural knowledge domains.

SciamLab solutions

Design and development of an interactive dashboard based on semantic graph visualisation.
Use of modern web technologies to allow fluid navigation across concepts and sub-concepts.
Direct integration with SIDOC’s filtered datasets, maintaining semantic consistency and structure.

The project

Smart View was born as a visual extension of the SIDOC semantic modeling system, with the aim of improving the readability and accessibility of the knowledge assets it models. Through the extraction and reprocessing of semantic data, the project led to the creation of a dynamic map that allows users to visually explore ontologies and perform an analysis of large networks of concepts and relationships.

Visualisation in the service of knowledge

The added value of Smart View lies in its ability to translate abstract data structures into intuitive graphical representations. This allows researchers and policymakers to better understand the relationships between concepts, facilitating informed policy adoption and the evolution of shared knowledge. Smartview has been essential in discovering patterns in the semantic networks of some European research projects.

Advanced technologies and user features

The system was designed to offer a fluid and high-performance analysis and exploration experience, thanks to a modular structure and the use of advanced visualization libraries. Features include thematic filters, text search, dynamic node selection, and metadata visualization, enabling personalized and in-depth exploration that allows users to navigate complex conceptual networks, perform searches, and identify patterns.

A digital legacy for future research

Smart View represents an important step towards the accessibility of formal knowledge in various areas of European research projects. Its architecture is designed to be reusable and scalable, making it a replicable model for other knowledge domains requiring visual representations of complex conceptual systems.