Data Integration Information Knowledge Discovery 
Rocket-Powered Data Science
JULY 6, 2021
Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. In “information retrieval” language, we would say that we have high RECALL, but low PRECISION.
Ontotext
JULY 29, 2021
KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. Schema.org and Linked Open Data are just two incarnations of the Semantic Web vision.
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Ontotext
FEBRUARY 19, 2020
The term “knowledge graph” (KG) has been gaining popularity for quite a while now. Today, as the number of decision-makers recognizing the importance of more dynamic, contextually aware and intelligent information architectures is growing, so is the number of companies with solutions based on knowledge graphs.
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.
FineReport
JULY 16, 2021
With the advancement of information construction, enterprises have accumulated massive data base. Because the greater the amount of data, the greater the value of the data that can be obtained. Companies employ BI systems to deliver right information to right person at the right time with a right format.
Ontotext
DECEMBER 1, 2023
So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.
Ontotext
SEPTEMBER 15, 2020
Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.
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