Knowledge Tree
knowledge graph construction pipeline
Also known as: knowledge graph construction pipeline, Knowledge Graph construction pipelines
Facts (15)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 13 facts
claimDebugging capabilities based on sufficient metadata are necessary to locate the exact points in the knowledge graph construction pipeline where quality problems arise.
claimChanges to the underlying ontology or the configuration of the knowledge graph construction pipeline often require manual interaction or confirmation.
claimEvaluating complete knowledge graph construction pipelines is an open and important problem for measuring performance and improving current approaches.
claimKnowledge graph construction pipelines do not necessarily follow a fixed execution order, and not all steps are required for every use case, as the necessary tasks depend on the type of source input.
claimConfiguration of knowledge graph construction pipelines can be simplified by using default parameter settings or automatic approaches based on machine learning.
claimA knowledge graph construction pipeline tool should integrate different tools, manage intermediate results, and handle common metadata such as provenance.
claimData cleaning should be integrated into all major steps of the knowledge graph construction pipeline to limit the entry of dirty or incorrect information.
claimWhile individual components of knowledge graph construction pipelines are well-researched, the complex interaction between these pipeline tasks remains an under-researched area.
claimKnowledge graph construction pipelines must transform input data into a final format, such as RDF or a property graph, often requiring multiple format conversions between pipeline steps.
perspectiveKnowledge graph construction pipelines should be easy to define, supported by user-friendly graphical user interfaces, and require low effort for configuration.
claimEvaluation criteria for knowledge graph construction pipelines should include the runtime for initial construction, the runtime for incremental updates, and the manual effort required to set up the construction pipelines.
claimKnowledge graph construction pipeline processes should scale horizontally as new input data is ingested and the knowledge graph size increases over time.
claimPipeline tools for knowledge graph construction should provide administration functionality to design and execute pipelines, support error handling, and enable performance monitoring and tuning.
LLM-empowered knowledge graph construction: A survey - arXiv arxiv.org Oct 23, 2025 1 fact
referenceTraditional Knowledge Graph construction pipelines consist of three major components: ontology engineering, knowledge extraction, and knowledge fusion.
Addressing common challenges with knowledge graphs - SciBite scibite.com 1 fact
claimSciBite semantic technologies are provided as microservices that can be embedded into automated knowledge graph creation pipelines.