The IoT advancement raises concerns about the varying quality of data produced by IoT devices. Data quality (DQ) is an important concept that is used in the design and employment of information, data ...

As a powerful expression of human knowledge in a structural form, knowledge graph (KG) has drawn great attention from both the academia and the industry and a large number of construction and ...

Knowledge graphs: The link between data and meaning While Google popularized the term “knowledge graph” in 2012, the concept of representing knowledge as interconnected information has roots ...

Poor data quality can undermine the graph’s effectiveness, making insights less reliable and harder to act on. Invest in a data cleansing process before building your knowledge graph.

react python quality semantic-web knowledge-graph linked-open-data data-quality data-quality-assessment knowledge-graph-quality. Updated Jun 23, 2025; Python; kracr / kg-quality-metric. Star 0. ... To ...

Knowledge graphs should be a data executive’s secret weapon. It’s time for you to get as smart as Amazon, Facebook, Goldman Sachs, Google and other data-driven leaders.

Global Knowledge Graph Market Global Knowledge Graph Market Dublin, Feb. 21, 2024 (GLOBE NEWSWIRE) -- The "Global Knowledge Graph Market by Offering (Solutions, Services), By Data Source ...

The semantic technologies underpinning RDF knowledge graphs are primed for data mesh and data fabric architectures — and their synthesis. They’re certainly ideal for crafting data products.