Special Issue on Large Language Models and Data Quality for Knowledge Graphs
Call for Papers: Special Issue on Large Language Models and Data Quality for Knowledge Graphs in Information Processing & Management (IPM)
Information Processing & Management (IPM) is inviting submissions for a special issue on Large Language Models and Data Quality for Knowledge Graphs. The guest editors for this special issue are Omar Alonso, Stefano Marchesin, and Gianmaria Silvello. The deadline for submissions is 1 September 2024 and the estimated publication date for the special issue is 15 January 2025.
Knowledge Graphs (KGs) are becoming increasingly important for virtual assistants, search engines, and data management. However, the methods used to build KGs can result in high sparsity and inaccuracies. Evaluating KG quality is crucial for gaining insights into data quality, refining the KG construction process, and providing valuable information to downstream applications. The rise of Large Language Models (LLMs) opens up opportunities and challenges for KG construction and evaluation, providing an intriguing intersection between human and machine capabilities.
This special issue aims to promote novel research on human-machine collaboration for KG construction and evaluation, fostering the intersection between KGs and LLMs. Topics of interest include KG construction systems, use of LLMs for KG generation, efficient solutions to deploy LLMs on large-scale KGs, quality control systems for KG construction, KG versioning and active learning, human-in-the-loop architectures, efficient KG quality assessment, quality assessment over temporal and dynamic KGs, redundancy and completeness issues, error detection and correction mechanisms, benchmarks and evaluation, domain-specific applications and challenges, maintenance of industry-scale KGs, and LLM validation via reliable/credible KG data.
Papers should be original and unpublished, and should not have appeared in or be under consideration for another journal. Submissions should be made through the IPM electronic submission system by choosing the article type: "VSI: LLMs and Data Quality for KGs".
For more information, please visit https://www.sciencedirect.com/journal/information-processing-and-management/about/call-for-papers#large-language-models-and-data-quality-for-knowledge-graphs.