Ontotext

MARCH 13, 2024

We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. We store this in GraphDB by leveraging standard tooling for knowledge graph management. Let’s open a document about making GraphDB available on the Amazon Web Services Marketplace.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Ontotext

JUNE 10, 2021

However, when it comes to queries that involve large and highly interconnected master data, the performance is solidly in favour of graph databases like GraphDB. This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Ontotext

JUNE 24, 2020

Web Annotation GraphQL Service. Find Annotations with Droid tags. Star Wars Universe GraphQL Service. Droid Character Entity Resolution. Federated Annotation and Star Wars Universe. Character Similarity GraphQL Service. Character similarity and sub class entity resolution. Knowledge Graph Training.

Modeling 64

Modeling Technology IT Management 64

Ontotext

APRIL 2, 2020

Over the years, Ontotext’s leading semantic graph database GraphDB has helped organizations in a variety of industries with their data and knowledge management challenges. Along with building up a stable customer base of knowledge graph users in various industries throughout the years, GraphDB has also generated a thriving community.

Visualization 52

Visualization Testing Manufacturing Data Architecture 52

Ontotext

NOVEMBER 7, 2019

Ontotext’s GraphDB is an enterprise-ready, high performance, scalable and simple to use database. Where possible it attempts to avoid some of the Semantic Web complexities/fundamentalism, providing tooling to ease data integration, data modeling, and information management. A new version 3.x x will be released soon.

Visualization 78

Visualization Modeling Technology Optimization 78

Ontotext

JANUARY 10, 2024

Finally, I will elaborate on the major design patterns and the requirements for an enterprise-wide knowledge graph management platform. As organizations grow, they face a range of inefficiencies – for example, management costs go up and decision-making slows down due to deeper hierarchies. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

JULY 13, 2023

Partner with PoolParty and GraphDB to build knowledge graphs for enterprise applications. And now they have launched new offerings based on a well-designed and proven integration between PoolParty Semantic Suite and GraphDB. Get inspired by customers who have used GraphDB and PoolParty together!

Enterprise 52

Enterprise Metadata Digital Transformation Publishing 52

Ontotext

JANUARY 26, 2023

This might include a range of tasks such as searching weather conditions on an app, looking at the temperature at home, reviewing electricity usage on a dedicated web platform, all the way to managing and utilizing data in a professional system at work. And this is what semantic data management is about.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

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

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. FIBO Overview. it supports RDF 1.1,

Finance 59

Finance Visualization Modeling Metadata 59

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. Think of customers like NASA, the most prominent automotive vendors, and infrastructure management companies. SeeNews : Your flagship product is GraphDB.

Technology 52

Technology Management Manufacturing Publishing 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. FIBO in Your World.

Modeling 72

Modeling Finance Technology Publishing 72

Ontotext

JUNE 15, 2023

Graph databases provide a more efficient way to manage and analyze large datasets with many-to-many relationships. 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.

Machine Learning 52

Machine Learning Data Integration Big Data Testing 52

Ontotext

APRIL 20, 2023

Thanks to their ability to seamlessly integrate disparate data pieces, knowledge graphs can connect information from different building systems such as heating, ventilation & air conditioning (HVAC), lighting, security, fire safety, elevators, power management, etc. The answer is easy: a smart city.

Optimization 52

Optimization Manufacturing Cost-Benefit Data-driven 52

Ontotext

DECEMBER 30, 2022

We have delivered technology and solutions to global leaders across several sectors: publishing (FT, Elsevier), financial services (S&P), pharma (AstraZeneca), government (UK Parliament) and others. We developed OEM partnerships, where our GraphDB engine powers industry specific solutions. GraphDB: Faster and more versatile.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

We have delivered technology and solutions to global leaders across several sectors: publishing (FT, Elsevier), financial services (S&P), pharma (AstraZeneca), government (UK Parliament) and others. We developed OEM partnerships, where our GraphDB engine powers industry specific solutions. GraphDB: Faster and more versatile.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

MARCH 18, 2020

Consequently, many data leaders today are striving to overcome these barriers by streamlining their enterprise knowledge management processes and practices. Can my internal enterprise services have the same scope of intelligent features as popular consumer web services?”. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

AUGUST 24, 2023

To deal with this issue, GraphDB implements a smart Graph Replace optimization that helps you calculate the internal data and only shows you the newly added and removed statements. The GraphQL API addresses this issue on top of GraphDB, which can read the schema and generate such triples to update the data.

Data Integration 52

Data Integration Modeling Business Objectives Optimization 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

JULY 14, 2021

If you’ve missed one and if we’ve managed to peak your interest with this blog post, you can request a free recording. We’ve worked with some of the most knowledge intensive enterprises in Financial Services, Publishing, Healthcare, Pharma, Industry and the Public sector. Webinar: Knowledge Graphs for Enterprise Data Management.

Management 52

Management Metadata Cost-Benefit Enterprise 52

Ontotext

APRIL 21, 2021

The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. Manage Regulation, Manage Risk. Knowledge graphs, like Ontotext’s GraphDB , represent an organisation’s data at a higher level of abstraction. appeared first on Ontotext.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 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

JANUARY 23, 2020

Determining the connections between all these companies, managers, owners and jurisdictions is a daunting task. To address all these challenges, the European Union’s Horizon 2020 research and innovation programme funded euBusinessGraph (Enabling the European Business Graph for Innovative Data Products and Services).

Data-driven 52

Data-driven Marketing Sales Reporting 52

Ontotext

AUGUST 26, 2021

If you’ve missed one and if we’ve managed to peak your interest with this post, you can request a free recording. FactForge is our public GraphDB demonstration service. Finally, you will receive quick guidance for configuration and customization of reasoning with GraphDB. All of our webinars are available on demand.

Analytics 52

Analytics Knowledge Discovery Enterprise Optimization 52

Ontotext

MAY 2, 2024

These models are as important to companies as their frontline products and determine how data is managed, consumed, combined, joined, and analyzed. TopQuadrant is an enterprise data management software built around helping companies realize the value of their data by solving tough problems with semantics.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. For example, one of Ontotext’s clients is a global firm providing financial services in over 50 countries, which has over 5000 different IT systems. Three presentations at the KGF 2023 proved it.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

FEBRUARY 7, 2024

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. The first element we need for such an architecture is to set our terminology management. All this requires a lot of resources.

Metadata 52

Metadata Data Integration Data-driven Measurement 52

Ontotext

MARCH 23, 2023

Data management is becoming increasingly challenging for organizations. In addition, there is a growing trend of automating data integration and management processes. While the topic has gotten a lot of buzz, a data fabric is not a specific application or software package you download and solve all your data management challenges.

Management 52

Management Metadata Unstructured Data Data Integration 52

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. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

DECEMBER 17, 2024

Introduction Whether you are in the position of Sherlock Holmes, a data analyst, or a business manager, its always useful to augment your vision of the available data to derive better insights. LLM assistants that understand graphs With GraphDB 10.8 , Graphwise delivers out-of-the-box its special flavor of RAG the Graph RAG.

IT 59

IT Metadata Visualization Modeling 59

Ontotext

APRIL 19, 2024

Ontotext is best known for GraphDB, the company’s semantic graph database management system. We developed Metadata Studio in a way that it’s agnostic to the technology that’s used, as long as it’s exposed as a web service,” according to Ivo. Ivo’s been at Ontotext for over 14 years.

Metadata 52

Metadata Statistics Interactive Enterprise 52

Ontotext

APRIL 15, 2020

Several research projects are already using GraphDB – Ontotext’s leading RDF database for creating knowledge graphs. What follows is a list of the COVID-19-related projects currently using GraphDB. The FHIR RDF version of CORD-19 plans to use the PICO ontology for modeling the annotations and to store them back in GraphDB.

Publishing 105

Publishing Metadata Data mining Data Architecture 105

Ontotext

JUNE 28, 2021

Text Analysis for Content Management solutions are at the forefront of knowledge-driven computing. By using a knowledge graph database like GraphDB and natural language processing (NLP), content becomes connected, dynamic, meaningful and contextual. Content Management.

Management 52

Management Interactive Data-driven Machine Learning 52