Revision as of 14:28, 24 October 2023

Session	Demos of information extraction via hybrid systems
Duration	1 hour
Date/Time	1 Nov 2023 16:00 GMT
	9:00am PDT/12:00pm EDT
	4:00pm GMT/5:00pm CET
Convener	Andrea Westerinen and Mike Bennett

Ontology Summit 2024 Demos of information extraction via hybrid systems

Andrea Westerinen, Creator of DNA, Deep Narrative Analysis
- Title: Populating Knowledge Graphs: The Confluence of Ontology and Large Language Models
- Abstract: Ontology-based Knowledge Graphs (KGs) stand at the forefront of semantic data representation, providing structured views of the data in complex domains. Traditionally, populating these KGs from unstructured text involved convoluted natural language analyses and custom code, but the environment has changed with the use of Large Language Models (LLMs). This talk explores one use case - the population of a KG from news articles. The evolution of the application from employing spaCy APIs to OpenAI is described, and the current (open-source) implementation discussed. Implementation issues such as sourcing the data, LLM prompts, mapping the LLM responses onto the ontology, and populating the knowledge graph are overviewed.
Prasad Yalamanchi, Lead Semantics CEO

Date: Wednesday, 1 November 2023
Start Time: 9:00am PDT / 12:00pm EDT / 5:00pm CET / 4:00pm GMT / 1600 UTC
- Note that Daylight Saving Time has ended in Europe but not in the US or Canada.
- ref: World Clock
Expected Call Duration: 1 hour
Video Conference URL: https://bit.ly/48lM0Ik
- Conference ID: 876 3045 3240
- Passcode: 464312

	Session
ConferenceCall 2023 10 25	A look across the industry, Part 2
ConferenceCall 2023 10 18	A look across the industry, Part 1
ConferenceCall 2023 10 11	Setting the stage
... further results

@@ Line 25: / Line 25: @@
 ** '''Title:''' Populating Knowledge Graphs: The Confluence of Ontology and Large Language Models
 ** '''Abstract:''' Ontology-based Knowledge Graphs (KGs) stand at the forefront of semantic data representation, providing structured views of the data in complex domains. Traditionally, populating these KGs from unstructured text involved convoluted natural language analyses and custom code, but the environment has changed with the use of Large Language Models (LLMs). This talk explores one use case - the population of a KG from news articles. The evolution of the application from employing spaCy APIs to OpenAI is described, and the current (open-source) implementation discussed. Implementation issues such as sourcing the data, LLM prompts, mapping the LLM responses onto the ontology, and populating the knowledge graph are overviewed.
-* Prasad Yalamanchi, ''Lead Semantics CTO''
+* [[PrasadYalamanchi|Prasad Yalamanchi]], ''Lead Semantics CEO''
 == Conference Call Information ==