Driving Business Decisions through Ontology and Enterprise Knowledge Graph
KGC 2025
•
1h 9m
Renu Rana
Ontologies are largely in the domain of the Ontologist or Developer, locked up in a modeling tool that few can understand. How can we make the most of the huge investment in developing an ontology? Lets see how it can be used for knowledge sharing, canonical models for data exchange, and as part of AI solutions.
· For the business community to navigate the ontology to understand business concepts and relationships in their terms without any knowledge of ontologies and modeling.
· For the development community to utilize classes, attributes, relationships (hierarchies) to define JSON Schemas for use as API signatures in a microservice architecture.
· For the Knowledge Management community to extend the ontology by utilizing LLMs and GraphRag to match glossaries and unstructured data against the ontology to contextualize new information and identity refinements to the ontology.
· For Knowledge Graphs, utilize business and meta data knowledge graphs to enhance discoverability of data in a complex data mesh environment.
In this session we will demonstrate how we take an OWL compliant ontology and enable the above functions. We will demonstrate how we used our ontology, an RDF Graph Database, GraphRag design patterns, an LLM, and a Chatbot to enable these functions.
Tools:
OWL Ontology
RDF Database
GraphRag
LLM/Chatbot
Up Next in KGC 2025
-
Agentic GraphRAG: AI’s Logical Edge
Stephen Chin, Neo4j, VP of Developer Relations
AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful t...
-
Next Version of RDF, or: Reification ...
Ora Lassila, Amazon Web Services, Principal Technologist
Adrian Gschwend, QLeverize, Zazuko, CEOIn the RDF specification, reification is probably the most disliked but also the most misunderstood feature. There has been a long-running discussion in the RDF community about how to “fix” reificati...
-
Fine(st)-Grained Access Control for R...
Souripriya Das, Oracle America, Inc., Architect and Manager
Fine-Grained Access Control (FGAC) is critical not just for government or healthcare agencies but for any enterprise that stores confidential data. While FGAC tools already exist for relational data, the unique nature of RDF data requir...
