OntoPop enables the visualisation, search, exploration and management of version-controlled ontologies.
OntoPop can be deployed in any context where ontologies are used, enabling your users to visualise, search, semantically query, explore and manage those ontologies. Exciting use-cases of OntoPop include:
- Semantic Web - deliver a common and consistent "language" with which all your users, suppliers and IT systems alike can understand a given domain, and each other. OntoPop enables users to visualise, search, explore and manage information in that domain, and to understand how knowledge and data assets are linked together.
- Common Data Models - build an ontology-based conceptual data model that acts as a reference for all your subsequent logical and physical data models and physical system interfaces. OntoPop enables you to make your ontology-based conceptual data model accessible to non-technical users, thus significantly improving data visibility and accessibility by providing an interactive map of all your linked data assets across your entire organisation.
- Classification Systems - combine machine learning with ontologies in order to build highly accurate predictive classification systems that can be applied to analytical use cases involving classifying huge volumes of text and other structured and unstructured data. OntoPop enables both human analysts and automated machine learning systems to iteratively refine and improve ontologies, and hence improve the predictive quality of classification systems, via OntoPop's APIs.