Ontotext

NOVEMBER 22, 2024

It uses the Retrieval Augmented Generation (RAG) approach , with a structured knowledge graph in the retrieval step and is hosted on the Databricks platform which provides smooth integration of processing resources on the cloud. It offers a comprehensive suite of features designed to streamline research and discovery.

Knowledge Discovery 52

Knowledge Discovery Visualization Data-driven Data Processing 52

AWS Big Data

SEPTEMBER 26, 2024

Solution overview The AWS Serverless Data Analytics Pipeline reference architecture provides a comprehensive, serverless solution for ingesting, processing, and analyzing data. At its core, this architecture features a centralized data lake hosted on Amazon Simple Storage Service (Amazon S3), organized into raw, cleaned, and curated zones.

Data Lake 114

Data Lake Cost-Benefit Unstructured Data Modeling 114

Ontotext

MAY 18, 2020

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.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

The Unofficial Google Data Science Blog

JULY 22, 2020

This post considers a common design for an OCE where a user may be randomly assigned an arm on their first visit during the experiment, with assignment weights referring to the proportion that are randomly assigned to each arm. References [1] Kohavi, Ron, Randal M. Here, day-of-week is a time-based confounder. 2] Scott, Steven L.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Ontotext

OCTOBER 28, 2021

Although there are already established reference datasets in some domains (e.g. UniProt for proteomics, ENSEMBL for genomics, ChEMBL for bioactive chemicals, etc) still the semantic harmonization of the data into a knowledge graph remains a significant challenge. Visual Ontology Modeling With metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

FEBRUARY 21, 2024

The examples below use OpenAI’s ChatGPT, but they can be applied against other LLM chatbots, including self-hosted ones. We have our data indexed in the vector database and we want to answer our targeted question “ What are some common applications of knowledge graphs? “. Talk to Your Graph GraphDB 10.4 answer { { select ?question

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64