Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

SEPTEMBER 15, 2020

There must be a representation of the low-level technical and operational metadata as well as the ‘real world’ metadata of the business model or ontologies. Create a human AND machine-meaningful data model. Formalize your data model using standards like RDF Schema and OWL. Integrate data with ETL or virtualization.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

AUGUST 19, 2020

XML and later JSON were the languages that enabled data interchange by establishing a common data model by establishing a standard description of the data being shared. Beyond the ability to ensure there was an enterprise wide data model, it was also possible to reuse data but with different metadata and schema.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

FineReport

DECEMBER 19, 2019

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.

Knowledge Discovery 98

Knowledge Discovery Visualization Reporting Experimentation 98

Domino Data Lab

DECEMBER 4, 2020

NCA doesn’t require the assumption of a specific compartmental model for either drug or metabolite; it is instead assumption-free and therefore easily automated [1]. PharmaceUtical Modeling And Simulation (or PUMAS) is a suite of tools to perform quantitative analytics for pharmaceutical drug development [2].

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Data Science 101

OCTOBER 31, 2019

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). The models created using these algorithms could be evaluated against appropriate metrics to verify the model’s credibility. Data Mining Models. Classification.

Data mining 77

Data mining KDD Data Science Forecasting 77

Ontotext

OCTOBER 28, 2021

However, although some ontologies or domain models are available in RDF/OWL, many of the original datasets that we have integrated into Ontotext’s Life Sciences and Healthcare Data Inventory are not. Visual Ontology Modeling With metaphactory. Although there are already established reference datasets in some domains (e.g.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Domino Data Lab

JUNE 15, 2021

Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. anomaly detection). 5.21.2'.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Ontotext

FEBRUARY 19, 2020

We hope it will bring some clarity to the topic and will help you get a better understanding of what it takes to craft a knowledge graph the semantic data modeling way. Ontotext’s 10 Steps of Crafting a Knowledge Graph With Semantic Data Modeling. Create your semantic data model. Choose your data storage.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

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. ExaMode, an acronym for Extreme-scale Analytics via Multimodal Ontology Discovery & Enhancement, is a project funded by the European Union, H2020 programme. Certainly not!

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Ontotext

AUGUST 10, 2023

Their interoperability and the supported network standards for communication enable devices to seamlessly connect and interact regardless of make, model, or operating system. The interoperability of knowledge graphs allows the easy integration and reuse of publicly available as well as proprietary data.

Technology 52

Technology Knowledge Discovery Interactive Enterprise 52

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. You need the ability of data analysis to aid in enterprise modeling. It is an active method of automatic discovery. Data Analysis. Data Visualization.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. We can’t imagine looking at the Semantic Web as an artifact.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

APRIL 27, 2021

Ontotext has years of experience transforming data into knowledge across a number of industries and especially in the healthcare sector. By the addition of formal semantics to data, both machines and humans can process the data correctly and efficiently through better search and analytics and the automation of knowledge tasks.

Knowledge Discovery 59

Knowledge Discovery Unstructured Data Insurance Testing 59

Ontotext

FEBRUARY 21, 2024

This dramatically simplifies the interaction with complex databases and analytics systems. RAG and Ontotext offerings: a perfect synergy RAG is an approach for enhancing an existing large language model (LLM) with external information provided as part of the input prompt, or grounding context.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64