AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opportunities.

Data Lake 89

Data Lake Cost-Benefit Unstructured Data Modeling 89

Ontotext

JULY 29, 2021

In more detail, they explained that just as the hypertext Web changed how we think about the availability of documents, the Semantic Web is a radical way of thinking about data. We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

APRIL 6, 2023

Here again knowledge graphs organize and link large amounts of data on aircraft design, manufacturing, maintenance and performance. By linking this data, they facilitate tasks like asset management, predictive maintenance, documentation management, mission planning, risk management, aircraft design and optimization, and anomaly detection.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

AUGUST 19, 2020

Separate documents called schemas let you describe the structure and restrictions of the data being described. More and more content such as documents, videos, sound was natively digital. Faster and easier knowledge discovery has obvious cost benefits and reduces duplication of effort.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 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). For example, clustering is used to group a large set of documents into categories based on the content. Common Applications.

Data mining 77

Data mining KDD Data Science Forecasting 77

Ontotext

APRIL 4, 2019

Some of this knowledge is locked and the company cannot access it. We translate their documents, presentations, tables, etc. into structured knowledge that can be processed by machines. Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Domino Data Lab

DECEMBER 4, 2020

The openness of the Domino Data Science platform allows us to use any language, tool, and framework while providing reproducibility, compute elasticity, knowledge discovery, and governance. 2] Pumas AI Documentation, [link]. [3] In this tutorial, we demonstrated how to carry out a simple Non-Compartmental Analysis. References.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Domino Data Lab

JUNE 15, 2021

If you are not familiar with the standard JAR file structure, you can read the Packaging Programs in JAR Files tutorial in the official Java documentation. This facilitates knowledge discovery, handover, and regulatory compliance, and allows the individual data scientists to focus on work that accelerates research and speeds model deployment.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Ontotext

OCTOBER 28, 2021

The majority of data there is frequently in semi-structured or even free-text format and to understand what a document is about, you have to read the text. Knowledge discovery is one of the core strengths of metaphactory as it enables the creation of UIs that provide a user specific and tailored view on the knowledge graph.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

FEBRUARY 21, 2024

So we can easily integrate the information from both textual documents and structured RDF entities into an LLM-driven application. Example use case: Ontotext Knowledge Graph For illustration, we will use a project developed internally by Ontotext that we call “Ontotext Knowledge Graph” or OTKG for short.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Domino Data Lab

AUGUST 1, 2021

A comprehensive list of all attributes and symbol codes is given in the document that accompanies the original dataset. Conference on Knowledge Discovery and Data Mining, pp. A12 : 0 <= … < 200 DM. A13 : … >= 200 DM / salary assignments for at least 1 year. A14 : no checking account. Ribeiro, M.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Ontotext

AUGUST 21, 2024

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. But until they connect the dots across their data, they will never be able to truly leverage their information assets.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52

Ontotext

NOVEMBER 11, 2024

Using semantic metadata, knowledge graphs provide a consistent view of diverse enterprise data, interlinking knowledge that has been scattered across different systems and stakeholders. With the help of natural language processing (NLP), text documents can also be integrated with knowledge graphs.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52