Ontotext

DECEMBER 30, 2022

Those are bold plans, because in 2022 we received recognition for what we’ve achieved through investment to help us expand, accelerate growth and engage the market with the technology we’ve been developing for 20 years. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

Those are bold plans, because in 2022 we received recognition for what we’ve achieved through investment to help us expand, accelerate growth and engage the market with the technology we’ve been developing for 20 years. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

OCTOBER 7, 2020

In this article we will discuss some of the features of GraphDB that support such an alignment. The Financial Industry Business Ontology (FIBO) is a conceptual model of the financial industry that has been developed by the Enterprise Data Management Council (EDMC). Loading FIBO in GraphDB. it supports RDF 1.1,

Finance 59

Finance Visualization Modeling Metadata 59

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. As a start, such a platform would need to support two major design patterns: semantic knowledge hub and semantic data fabric.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

DECEMBER 16, 2020

In 2020, we continued to develop our leading database engine for management of knowledge graphs, GraphDB , and expanded it with a lot of new functionalities. GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs. Check out our 5 releases for this year – 9.1 , 9.2 , 9.3 , 9.4

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Ontotext

JANUARY 21, 2021

The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. Introduction. This is a nontrivial task. Historical Context.

Modeling 72

Modeling Finance Technology Publishing 72

Ontotext

JUNE 15, 2023

We will also describe several different ways to import your on-premise data in Ontotext’s RDF database for knowledge graphs GraphDB together with some examples how to do it. Kafka is a scalable, fault-tolerant system for processing and storing such data and can be used to reliably import data into GraphDB.

Machine Learning 52

Machine Learning Data Integration Big Data Testing 52

Ontotext

NOVEMBER 25, 2022

The financial services sector was also interested but needed to implement projects faster and there were not many successful mission-critical implementations. SeeNews : Your flagship product is GraphDB. Apart from this application, GraphDB can also provide vulnerability analysis. What would be the potential impact?

Technology 52

Technology Management Manufacturing Publishing 52

Ontotext

NOVEMBER 6, 2019

of Ontotext’s GraphDB has lots of new bells and whistles that will ensure that it remains the market leader for semantic databases. GraphDB has always been compliant with W3C standards and an active member of the semantic web community. What does it mean for GraphDB clients? Version 9.0 Why going Open Source? The Plugins.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

Ontotext

JANUARY 26, 2023

In this part of our series GraphDB in action , we highlight cutting-edge research where GraphDB has been used to power solutions built with semantic data. The paper introduces KnowWhereGraph (KWG) as a solution to the ever-growing challenge of integrating heterogeneous data and building services on top of already existing open data.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

Ontotext

APRIL 27, 2021

What is needed is a technology that can extract and retain the meaning of any new knowledge as well as being able to provide provenance for each underlying fact supporting the scientific conclusions. They also developed a large-scale knowledge graph for an early hypothesis testing tool. How Ontotext Helps. Tried and Tested.

Knowledge Discovery 59

Knowledge Discovery Unstructured Data Insurance Testing 59

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. Its remarkable capabilities shine even brighter when delivered jointly with partners.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Ontotext

FEBRUARY 14, 2024

It is also flexible enough to support adaptation to other large-scale knowledge bases and perform zero-shot entity linking. You can also use it as a service to integrate in your own products or we can feature it as part of a broader custom solution we build for you. Out of the box, the model links to Wikidata IDs.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Publishing 52

Ontotext

MAY 2, 2024

The other half of our value proposition is Ontotext GraphDB. GraphDB is a best-of-breed RDF database for knowledge graphs that allows linking diverse data, indexing it for semantic search, and enriching it via text analysis to build big knowledge graphs. Here we talk about metadata management, catalog of catalogs, and so on.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Ontotext

MARCH 20, 2024

This is the power of Zenia Graph’s services and solution powered by Ontotext GraphDB. Reduce costs and make development faster: Traditional data integration methods can be expensive and time-consuming. Click here to learn more about Zenia Graph and its portfolio of GraphDB-based solutions !

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Ontotext

FEBRUARY 7, 2024

These include ETL processes, searching, accessing, data cleansing, data creation, semantic data integration , and the IT infrastructure to support it. And, although we have services like the EMBL-EBI Ontology Xref service providing a schema of all the various mappings between resources, these still need to be maintained and kept up-to-date.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Ontotext

DECEMBER 17, 2024

It will illustrate how users with varying levels of technical knowledge, particularly the less tech-savvy ones, can benefit from the Graphwise GraphDB-based approach to retrieval augmented generation (RAG) , underpinned by large language model (LLM) agents. A dedicated service in DBKF detects these automatically.

IT 59

IT Metadata Visualization Modeling 59

Ontotext

APRIL 15, 2020

As all this progresses, the scientific community races against time to respond to the pandemic by developing diagnostic tests, therapies, pre-clinical and clinical research and vaccines. Therefore, Ontotext is making its small but powerful contribution by supporting global COVID-19 related initiatives with its technology.

Publishing 105

Publishing Metadata Data mining Data Architecture 105