Connectionists: CFP for CIKM 2023 Workshop on Enterprise Knowledge Graphs using Large Language Models(EKG-LLM)

[Aparna Madva]

Dear Researchers,

Paper submissions for EKG-LLM 2023 : Workshop on Enterprise Knowledge
Graphs Using Large Language Models (
http://wsl.iiitb.ac.in/cikm-2023-workshop-on-enterprise-knowledge-graphs-using-large-language-models/
) is open.

EKG-LLM is co-located with CIKM 2023; 32nd ACM International Conference on
Information and Knowledge Management (
https://uobevents.eventsair.com/cikm2023/workshops), to be held in
University of Birmingham, Birmingham, UK from 21 to 25 October 2023.

*CALL FOR PAPERS*

Knowledge graphs can integrate diverse data sources and provide a holistic
view to the downstream applications. By virtue of being structured,
knowledge graphs offer transparency and interpretability to the search and
recommendations applications. Combining Knowledge Graphs with current-day
advances in LLMs can create several opportunities.

The EKG-LLM workshop as part of CIKM 2023, would be addressing how large
language models can help with the construction and usage of these
enterprise knowledge graphs. This involves improving all the aspects of EKG
workflow using large language models: entity extraction, entity enrichment,
EKG construction, querying EKG for search and recommendations, scenario
specific EKG, etc. Through this workshop we would like to highlight
research issues specific to the integration of the enterprise knowledge
graphs with large language models and associated applications.

Topics of interest include but are not limited to, the following:

   - Designing Enterprise Knowledge Graph (EKG)
   - EKG Implementation
   - Scalable extraction of enterprise entities using LLMs
   - Building EKGs for specific domains or applications
   - Natural Language Processing (NLP) algorithms to build EKGs.
   - Relationship extraction using large language models
   - Federated graph learning with LLMs
   - Privacy in graph algorithms
   - Privacy preserving graph construction and mining
   - Semantic reasoning based on deep learning on graph
   - Industrial applications of EKGs: banking, financing, retail,
   healthcare, medicine, etc.
   - Explainable AI based on EKG
   - Use of EKG and LLMs for search and recommendations

Submission link : https://easychair.org/conferences/?conf=ekgllm2023

*IMPORTANT DATES*

Abstract Submission : September 3, 2023
Paper submission : September 10, 2023
Notification of paper acceptance : September 25, 2023
Camera Ready paper submission : October 1, 2023

*SUBMISSIONS*

Submissions should be made to the EKG-LLM 2023 EasyChair site (
https://easychair.org/conferences/?conf=ekgllm2023
<https://easychair.org/my/conference?conf=ekgllm2023>). CEUR style
guidelines (https://ceur-ws.org/Vol-XXX/) should be followed. Submissions
should be in PDF format with 6 pages of content, plus references.

Accepted papers will be published as a part of CEUR Workshop proceedings
<https://ceur-ws.org/>.


Best Regards
Aparna Madva
MS by Research Scholar,
Web Science Lab, IIIT Bangalore
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