| Vol-3532 urn:nbn:de:0074-3532-0 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# EKG-LLM 2023
Enterprise Knowledge Graphs using Large Language Models

### Proceedings of the Workshop on Enterprise Knowledge Graphs using Large Language Models (EKG-LLM 2023)
co-located with 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)

### Birmingham, UK, October 22, 2023.

Edited by

### Rajeev Gupta *
Srinath Srinivasa **

* Microsoft R&D India Pvt. Ltd., India
** Web Science Lab, IIIT-Bangalore, India

## Table of Contents

- Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume. Finally, the proceedings were supplemented with the abstracts of invited talks.

### Invited Talks

- Lessons from the Age of User-Generated Content for the Age of AI-Generated Content
  Nishanth Sastry
- Enhancing Enterprise Knowledge Base Construction with Fine-Tuned Generative Language Models
  Liana Mikaelyan
- Building Knowledge Graph for Products at Scale and Infusing it in to LLMs
  Manoj Agarwal
- LLMs for Social Networks: Applications, Challenges and Solutions
  Bojan Babic
- Can Machines Discover New Knowledge?
  Fabio Petroni

### Paper Session

- EduEmbedd - A Knowledge Graph Embedding for Education
  Anurag Mohanty
- Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs
  Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
- Cognitive Retrieve: Empowering Document Retrieval with Semantics and Domain Specific Knowledge Graph
  Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E Venugopal
- CRUSH: Cybersecurity Research using Universal LLMs and Semantic Hypernetworks
  Mohit Sewak, Vamsi Emani, Annam Naresh
- StATIK+: Structure and Text for Inductive Knowledge Graph Modeling and Paths towards Enterprise Implementations
  Elan S Markowitz, Aram Galstyan

2023-10-20: submitted by Srinath Srinivasa, metadata incl. bibliographic data published under Creative Commons CC0
2023-10-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|