
Constructing Knowledge Graphs (KGs) from unstructured data is a complex task due to the difficulties of extracting and structuring meaningful information from raw text. Unstructured data often contains unresolved or duplicated entities and inconsistent relationships, which complicates its transformation into a coherent knowledge graph. Additionally, the vast amount of unstructured data available across various fields […]
The post How Can We Convert Unstructured Text into Actionable Knowledge? This AI Paper Unveils iText2KG for Incremental Knowledge Graphs Construction Using Large Language Models appeared first on MarkTechPost.
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