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How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 

Ontotext

Because of its highly interlinked nature, it can also recognize multiple references to one and the same entity. The post How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search appeared first on Ontotext. The Power of Semantic Text Similarity. Are you facing similar problems?

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Advancing Automatic Knowledge Extraction with PubMiner AI

Ontotext

Finally, it enables building a subgraph representing the extracted knowledge, normalized to reference data sets. It offers a comprehensive suite of features designed to streamline research and discovery. Automated Report Generation : Summarizes research findings and trends into comprehensive, digestible reports.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. Enterprise knowledge graphs came as a second wave to serve a different purpose – they use ontologies to make explicit various conceptual models (schemas, taxonomies, vocabularies, etc.)

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Exascale computing refers to systems capable of at least one exaFLOPS calculation per second and that is billion billion (or if you wish a quintillion) operations per second.

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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

Solution overview The AWS Serverless Data Analytics Pipeline reference architecture provides a comprehensive, serverless solution for ingesting, processing, and analyzing data. For more details about models and parameters available, refer to Anthropic Claude Text Completions API.

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How Do Super Rookies Start Learning Data Analysis?

FineReport

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. For super rookies, the first task is to understand what data analysis is.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

Still, newcomers are advised to dedicate some time to any of the excellent SPARQL tutorials out there, some of which are referred to in the FAQ section of the training page. Therefore, we provide a theoretical overview of both, including some practical exercises in SPARQL.