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Ontology Maintenance & Data Mapping

This guide explains how to use Voicebox for Designer to maintain ontologies, connect and map data sources, and validate your knowledge graph.

Page Contents
  1. Overview
    1. Key Functionality
  2. Example Workflow
  3. Requirements

Note This feature is currently in beta and available only to limited set of customers. Please inquire if you would like access.

Overview

Voicebox for Designer is a specialized Agent that guides users through the various steps of creating and curating a knowledge graph: creating an ontology, mapping data sources, and aligning model and mappings to your specific user case. This allows SMEs to build sophisticated knowledge graphs without requiring deep ontology expertise. Designer provides an intuitive, low-code interface that helps knowledge workers define end-user questions, connect data sources, and publish ontologies to support their knowledge graph use cases.

This feature is designed to address common data modeling and mapping challenges:

  • Ontology creation has historically been a specialized skill, leading to project delays or the need to hire additional resources.
  • Enterprises often need domain-specific context that generic AI models cannot provide.
  • Achieve faster time to value results from your knowledge graph.
  • Avoid time-intensive training or other large upfront investments to get started as Voicebox does not require these.

Key Functionality

  • Automated Ontology Generation: Automatically map data sources to ontology concepts so your knowledge graph is customized for your domain via your data and your questions.

  • Human-in-the-Loop Oversight: Review mappings, resolve conflicts, and validate provenance.

  • Ease of Use: Low-code/no-code interface that minimizes manual setup.

Example Workflow

A typical ontology creation workflow:

  1. Define the scope of your project
  2. Define a project title
  3. Provide a project description. Write this from the perspective of what your project will be used to accomplish. Think of this as a user story or a problem statement.
  4. Review and write questions which will be commonly asked of your knowledge graph
  5. Review and select data sources to support your project
  6. Let Voicebox process your inputs. Voicebox may take a few minutes to analyze your questions and data sources.
  7. Review the suggested ontology and mapping from Voicebox
  8. Iterate by adding data model concepts, connecting additional sources, or refining your project questions until Voicebox shows high confidence in answering them.
  9. Publish to your Stardog Endpoint.
  10. Interact with your knowledge graph using Voicebox, a conversational AI agent available through Stardog interfaces and API.

Requirements

Voicebox for Designer requires a Voicebox enabled endpoint.