Knowledge Tree
Relations (1)
related 0.70 — strongly supporting 7 facts
Scalability is identified as a primary technical challenge in the construction and maintenance of knowledge graphs [1], [2], [3]. Furthermore, the relationship is defined by the specific performance limitations of knowledge graphs regarding data volume and density [4], as well as the strategic necessity for organizations to manage scalability to ensure effective data utilization [5], [6].
Facts (7)
Sources
(PDF) THE ROLE OF KNOWLEDGE GRAPHS IN EXPLAINABLE AI researchgate.net 2 facts
claimThe authors of the paper 'THE ROLE OF KNOWLEDGE GRAPHS IN EXPLAINABLE AI' propose potential solutions to address the challenges of scalability, dynamic updates, and bias mitigation in knowledge graphs.
claimThe authors of the paper 'THE ROLE OF KNOWLEDGE GRAPHS IN EXPLAINABLE AI' identify scalability, dynamic updates, and bias mitigation as key challenges in constructing and maintaining knowledge graphs for AI systems.
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 1 fact
claimMost existing construction pipelines for Knowledge Graphs do not support incremental updates and are limited to batch-like re-creation of the entire graph, which prevents scalability to many data sources and high data volumes.
What are the challenges in maintaining a knowledge graph? - Milvus milvus.io 1 fact
claimOrganizations can harness the full potential of their knowledge graphs to drive informed decision-making and innovation by understanding and proactively managing challenges related to data quality, scalability, semantic complexity, and security.
Overcoming the limitations of Knowledge Graphs for Decision ... xpertrule.com 1 fact
claimComposite AI offers greater scalability and flexibility than Knowledge Graphs by allowing organizations to integrate various AI technologies as needed.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
claimMulti-task learning approaches for knowledge graph completion, such as MT-DNN and LP-BERT, fail to resolve the fundamental scalability gap in large-scale knowledge graphs, where latency grows polynomially with graph density.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com 1 fact
claimScalability in Knowledge Graphs refers to the ability to grow easily over time by absorbing additional datasets without breaking or losing interconnections.