Data Integration Knowledge Discovery Publishing 
Ontotext
JULY 29, 2021
The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. Knowledge graphs (KG) came later, but quickly became a powerful driver for adoption of Semantic Web standards and all species of semantic technology implementing them.
Ontotext
AUGUST 3, 2023
This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least, the challenges in air-traffic control. The framework addresses current data integration needs and prepares for future capability.
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Ontotext
DECEMBER 30, 2019
As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledge graphs easier and richer.
Ontotext
OCTOBER 28, 2021
For datasets serialized in RDF by their official publishers, we generate additional semantic mappings between certain concepts from referential datasets. Semantic Data Integration With GraphDB. This allows us to explore all this information and make analysis comparisons among different entities.
Ontotext
NOVEMBER 11, 2024
This often leaves business insights and opportunities lost among a tangled complexity of meaningless, siloed data and content. Knowledge graphs help overcome these challenges by unifying data access, providing flexible data integration, and automating data management.
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