ONTODIA
A flexible and extendable library for data exploration, data analytics, data authoring and knowledge sharing.
HOW DOES IT WORK?
Ontodia is tightly integrated into metaphactory's search and exploration framework and is being delivered to metaphacts customers as part of metaphactory.
USE CASES
Knowledge Graph Exploration
End-users easily navigate through large data sets, become aware of the data structure, data volume and the relevant knowledge they conceal, and quickly find answers to their questions. This is achieved through Ontodia's support for:
- queries over several data sources and navigation across multiple datasets,
- incremental exploration (i.e., expanding nodes to see connected entities in the knowledge graph),
- answering the question of "how many" by counting the number of connected entities, classes, individuals in classes, etc.,
- search across all types of data: classes, individuals, connections, etc.
Data Analytics
Ontodia's ability to hide the underlying data complexity and engage users with visual interaction enables various real-life analysis scenarios, specifically:
- visualize data in various formats and gain insights into meaningful facts,
- perform drill-down analyses,
- find paths between entities and match patterns,
- perform "what-if" analyses,
- group similar concepts into group-nodes for easier perception and quantitative analysis,
- define visual templates for types of nodes and connections,
- support for "property graph" model and "collapsible paths" that simplify the representation of knowledge,
- share findings with colleagues.
Visual Data Authoring
End-users can augment the knowledge graph and its ontologies by leveraging Ontodia's most recent features for visual knowledge graph authoring, specifically:
- adding entities to and removing them from the dataset,
- modifying properties of entities,
- adding or removing connections between entities,
- customizing nodes to embed rich content, e.g., embedded videos,
- authoring basic ontologies,
- on-the-fly validation of changes against the ontology constrains.
Data Model Documentation and Knowledge Distribution
With Ontodia, end-users can easily document data and ontologies by creating diagrams around it, and share their knowledge base with colleagues. To this end, Ontodia allows for:
- creating diagrams and posting them as illustrations,
- automatically producing example diagrams from the published RDF,
- embedding diagrams into documentation pages,
- configuring how diagrams are displayed to readers (e.g., read-only).
Highly customizable look and feel
Large graphs supported while adding unprecedented interactivity
Multiple data sources navigated seamlessly in one graph
Visual data & ontology authoring
Finding paths between two objects
LEARN MORE ABOUT ONTODIA