We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Open Research Knowledge Graph - Allard Oelen & Yaser Jaradeh @AIKG-SD 2024

7
 Cite
 Share
 Download
 Purchase
Logo of NFDI for Data Science and Artificial IntelligenceNFDI for Data Science and Artificial Intelligence
No logo availableLeuphana Universität Lüneburg
 D'Souza, Jennifer Gesese, Genet Asefa Bailly, Kolja Hennig, Christine Oelen, Allard Jaradeh, Yaser Dierkes, Jens Usbeck, Ricardo Kraft, Angelie

Formal Metadata

Title
Open Research Knowledge Graph - Allard Oelen & Yaser Jaradeh @AIKG-SD 2024
Title of Series
Number of Parts
8
Author
Contributors
License
CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language
Producer
Production Year2024
Production PlaceLüneburg

Content Metadata

Subject Area
Genre
Abstract
Dr. Allard Oelen's and Dr. Yaser Jaradeh's presentation at the "Artificial Intelligence and Knowledge Graphs for Scholarly Data Summer School Day 2024 (AIKG-SD 2024)" hosted by the AIX lab at Leuphana University Lüneburg and NFDI4DataScience. Their talk entitled "Open Research Knowledge Graph - Assistant for Scientific Knowledge" provides a detailed introduction to the LLM-based assistant ORKG ask that allows to query content-related information from a vast corpus of research articles via a natural language interface. Different functionalities and technical details of the frontend and backend (LLMs, Knowledge Graphs, Retrieval Augmented Generation/RAG, Semantic Searc) are explained.
Keywords