Ontotext

NOVEMBER 29, 2024

This will improve the productivity and quality of the design and construction processes and support a sustainable built environment​. ACCORD uses GraphDB to perform automated compliance checks as RDF ( Resource Description Framework ) knowledge graphs are compliant with W3C standards. So stay tuned!

Modeling 59

Modeling Structured Data Technology Data Transformation 59

Ontotext

NOVEMBER 18, 2021

It’s a dangerous business, putting your product to market. Picture this – you start with the perfect use case for your data analytics product. Our main weapons when beating that beast will be GraphDB , Ontotext Platform , Kafka , Elasticsearch , Kibana and Jupyter. Fortunately, GraphDB has something better.

Visualization 98

Visualization Reporting Metadata Enterprise 98

Ontotext

MAY 23, 2024

As you might guess from its name, GraphDB stores data in a graph data structure, which is much more flexible than the rigid table structures used by relational database managers. For the GraphDB user, the returned results look like they were delivered by a SPARQL engine and can play the same role in your applications.

Business Intelligence 69

Business Intelligence Management IT Technology 69

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. But we are also happy to report that some of the biggest car manufacturers leverage Ontotext’s RDF database for knowledge graphs GraphDB in their technology. And that’s not all.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

OCTOBER 25, 2023

Much awaited and long overdue, the only fully benchmarked graph database on the market, GraphDB , is now available on AWS Marketplace ready for enterprise adoption. Why GraphDB on AWS? GraphDB robust cloud-based solution, coupled with the underlying IaaS, provides better service RPO/RTO over on-premise solutions.

Cost-Benefit 64

Cost-Benefit Enterprise Marketing Optimization 64

Ontotext

MARCH 13, 2024

We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. The project involves different departments and leverages our products and capabilities by combining them with our marketing team’s expertise.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Ontotext

SEPTEMBER 26, 2024

We have already explained how to deploy GraphDB in a generic environment and on Azure. This post will guide you through deploying GraphDB in your AWS account using our Terraform scripts. The scripts deploy the cluster using pre-built AMIs with the latest GraphDB version. And the cloud gives you flexibility at a reasonable price.

Snapshot 59

Snapshot Testing Dashboards Enterprise 59

Ontotext

JULY 19, 2024

Our blog post GraphDB Cluster Deployment Strategies explained how to deploy a high-availability GraphDB cluster. Ontotext collaborates with major cloud providers, Azure and AWS, to offer the GraphDB high-availability cluster either as a managed service in Ontotext’s account or in the customer’s account.

Testing 59

Testing Snapshot Metrics Enterprise 59

Ontotext

JULY 12, 2024

We offer a seamless integration of the PoolParty Semantic Suite and GraphDB , called the PowerPack bundles. Our two products work exceptionally well together as GraphDB is a development tool, whereas PoolParty is an out-of-the-box product delivering optimal results with minimal configuration.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

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. Ontotext’s GraphDB. Relational databases benefit from decades of tweaks and optimizations to deliver performance. It can be queried. Give it a try today!

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Ontotext

OCTOBER 7, 2020

In this article we will discuss some of the features of GraphDB that support such an alignment. In the version used for this article (2020 Q2 Production), it contains: 122 namespaces, which represent the module structure; 1,542 classes; 1,328 concepts; 535 predicates. Loading FIBO in GraphDB. FIBO Overview. it supports RDF 1.1,

Finance 59

Finance Visualization Modeling Metadata 59

Ontotext

JUNE 27, 2024

The PPR (Product, Process, Resources) modeling paradigm offers a robust framework to address this need, leveraging ontology-based semantic description languages to encode knowledge across various aspects of automation tasks [1]. Process : Information on the sequence of operations or steps required to produce or assemble the product.

Modeling 72

Modeling Manufacturing Software Management 72

Ontotext

FEBRUARY 9, 2024

This blog post will present a NLQ integration for Ontotext GraphDB in LangChain: a framework designed to simplify the creation of applications using LLMs. The diagram above offers a high-level overview of how NLQ for GraphDB works in LangChain. If the generated query is a valid SPARQL query, then it is executed against GraphDB.

Manufacturing 69

Manufacturing Modeling Interactive Business Intelligence 69

Ontotext

NOVEMBER 25, 2022

SeeNews : Your flagship product is GraphDB. Atanas Kyriakov : Yes, this is our most popular product and I can share two use cases. One of the biggest retail banks in the USA collects monitoring information from its critical IT systems internally and then integrates it using GraphDB for better root-cause analysis.

Technology 52

Technology Management Manufacturing Publishing 52

Ontotext

JULY 26, 2019

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. This is where a well-built knowledge graph can help break the productivity barriers and transform scattered raw data into structured knowledge.

Technology 75

Technology Enterprise Data Integration Structured Data 75

Ontotext

NOVEMBER 9, 2021

However, with GraphDB using forward-chaining – i.e., emitting inferred statements at ingestion time – it’s actually rather easy to debug and profile your inference. GraphDB evaluates the rules with the least amount of unbound variables first, but then follows your ordering. Avoid recursion and duplications.

Optimization 52

Optimization Statistics Modeling Management 52

Ontotext

OCTOBER 19, 2021

The GraphDB SHACL engine works on materialized data. However, we strongly believe that most SHACL constraints that are relevant for a production-grade environment can be expressed with the default constraints. As GraphDB SHACL is tied to the data update and depends on a customized syntax tree, you need to insert your data.

Data Quality 52

Data Quality Testing Marketing Modeling 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

JULY 13, 2023

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! This blog gives an overview of a product bundling that relies on two industry leaders that help you do this.

Enterprise 52

Enterprise Metadata Digital Transformation Data Integration 52

Ontotext

DECEMBER 30, 2022

The first 18 years: Develop vision and products and deliver to innovation leaders. 9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Over the next 3 years Ontotext transformed itself into a product focused company with over 30% revenue growth.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

The first 18 years: Develop vision and products and deliver to innovation leaders. 9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Over the next 3 years Ontotext transformed itself into a product focused company with over 30% revenue growth.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

SEPTEMBER 30, 2021

GraphDB & metaphactory Working Hand in Hand. At the heart of our solution are Ontotext’s GraphDB and metaphacts’ metaphactory. GraphDB is a leading RDF database that allows diverse data linking, indexing data for semantic search and enriching it via a text analysis plugin to build big knowledge graphs. To Sum It Up.

Interactive 52

Interactive Data-driven Visualization Modeling 52

Ontotext

JUNE 24, 2020

GraphQL Federation over GraphDB, MongoDB and a Semantic Vector Space. Schema Definition Language Query. Federated Annotation and Character Similarity. Federated Annotation, Character Similarity and Universe. With the remainder building out a GraphQL similarity service using GraphDB’s semantic vector space.

Modeling 64

Modeling Technology IT Management 64

Ontotext

JANUARY 10, 2024

Often, it’s a by-product of business growth. We at Ontotext have dedicated 20 years to developing GraphDB so that it meets all these requirements. GraphDB can handle both with excellence, which positions it as the most versatile graph database engine. This task is something that LLMs don’t do well.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

NOVEMBER 5, 2019

to identifying concepts and entities such as people, organisations, place names, chemical compounds and products as well as relationships between them. Inevitably, new people, companies, products appear in content, and these are most likely currently of most interest. Ontotext’s GraphDB. nouns, verbs, adjectives, etc.)

IT 69

IT Technology Modeling Analytics 69

Ontotext

JANUARY 21, 2021

Since then the focus has been on the data domain as described in the EDMC’s current description of the product. GraphDB offers such a tool with its Similarity Indexes implemented as a plugin. This table, and the worksheet from which it is drawn, are not directly produced from GraphDB. Ontotext’s GraphDB.

Modeling 72

Modeling Finance Technology Insurance 72

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 20, 2022

So far we have covered the capabilities and business applications of knowledge graphs as well as some of the major benefits of our RDF database – GraphDB. Analyzing Unstructured Data with GraphDB 9.8. You only lose the plugins that are part of GraphDB such as Graph path search.

Enterprise 52

Enterprise Unstructured Data Visualization Modeling 52

Ontotext

JUNE 6, 2024

Ontopic Studio Creating transformation rules can be done in different ways and the productivity and robustness of these approaches vary widely. The core component is GraphDB and our virtualization technology enables virtual access to data lakehouses. You can also easily create rules to move data into GraphDB.

Cost-Benefit 49

Cost-Benefit Optimization Software Enterprise 49

Ontotext

OCTOBER 28, 2021

In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate value from it in a matter of days. LinkedLifeData Inventory Pre-loaded In GraphDB. Semantic Data Integration With GraphDB.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

OCTOBER 11, 2023

It was based on the dynamics of Roofshots (Deliver incrementally and make production impacts) and Moonshots (Strive to apply and invent the state-of-the-art​). Quality Production – quality, End-to-End Minimum Viable Product (E2E MVP) experiences. Scalability – a significant cost reduction for
scale-ups.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

Ontotext

MAY 2, 2024

So, even if it solves a problem for a while, the rapidly increasing needs of product and business teams lead to the proliferation of such applications. These models are as important to companies as their frontline products and determine how data is managed, consumed, combined, joined, and analyzed.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Ontotext

APRIL 20, 2023

And, as more and more Building Automation providers are turning to knowledge graphs, two of the leading ones – Johnson Controls and Schneider Electric – have chosen Ontotext’s GraphDB. They are using GraphDB with BrickSchema to leverage semantic technologies in their building automation solutions.

Optimization 52

Optimization Manufacturing Cost-Benefit Data-driven 52

Ontotext

JULY 14, 2021

We can address many of their challenges with our products – GraphDB and Ontotext Platform. Atanas also examines how Ontotext GraphDB and Ontotext Platform address these capabilities and provides an overview of Ontotext’s partner ecosystem. As a result, we know a lot about what our customers’ needs and pain points are.

Management 52

Management Metadata Cost-Benefit Enterprise 52

Ontotext

FEBRUARY 14, 2024

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. Directly through GraphDB , it can be called via the text mining plug-in and the output can be serialized in whatever form you prefer.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Publishing 52

Ontotext

MARCH 20, 2024

It’s a huge productivity loss.” This is the power of Zenia Graph’s services and solution powered by Ontotext GraphDB. Click here to learn more about Zenia Graph and its portfolio of GraphDB-based solutions ! Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Ontotext

MARCH 4, 2020

But the industry as we know it today actually emerged in the second half of the 19th century when the world’s first factory for the sole production of medicines was found. By the late 19th and early 20th century, some chemical companies had already begun using research labs to explore the medical applications for their products.

Knowledge Discovery 52

Knowledge Discovery Manufacturing Finance Technology 52