DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. What is a Data Fabric?

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AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We use leading-edge analytics, data, and science to help clients make intelligent decisions. Evidence generation is rife with knowledge management challenges.

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Ontotext

FEBRUARY 19, 2020

The term “knowledge graph” (KG) has been gaining popularity for quite a while now. Today, as the number of decision-makers recognizing the importance of more dynamic, contextually aware and intelligent information architectures is growing, so is the number of companies with solutions based on knowledge graphs.

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erwin

MAY 7, 2020

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. The difference between data architecture and enterprise architecture can be represented with the Zachman Framework.

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Ontotext

NOVEMBER 4, 2021

In the previous post, we talked about data virtualization and how Ontotext’s RDF database for knowledge graphs GraphDB provides the tools for the full journey from graphs to relational tables and back. This post continues our series in which we want to provide an overview of what we do and how our webinars fit into it.

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Ontotext

MARCH 24, 2021

For these reasons, publishing the data related to elections is obligatory for all EU member states under Directive 2003/98/EC on the re-use of public sector information and the Bulgarian Central Elections Committee (CEC) has released a complete export of every election database since 2011. The complexities of election data.

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Ontotext

AUGUST 2, 2024

Ontotext has offered semantic technology training for nine years. Customers can take classes in which one of our experts trains them in the use of GraphDB , semantic technology , or the assembly of a semantic technology proof of concept. They can also have this certificate automatically added to their LinkedIn page.

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Ontotext

FEBRUARY 14, 2024

In the same way, it’s good to know what you need to have in place to feel all the benefits knowledge graphs can bring. Why You need to make sure the people in your organization know the why of the knowledge graph project. ” So, how do you know whether your model is useful? Let’s have a look at those.

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Ontotext

DECEMBER 1, 2023

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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Ontotext

OCTOBER 12, 2023

Did you know that, if you add “take a deep breath” to a prompt, chances are you will get more accurate results from Large Language Models (LLMs)? I learned that fact from a comment in the audience on the second day of SEMANTICS 2023 – the European conference series focused on semantic technologies ever since 2005.

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Sisense

MARCH 30, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Similarly, while creating this blog post, I’m given suggestions that aim to help complete my sentences via a “Smart Compose” function. A look under the hood.

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Ontotext

MAY 31, 2024

Where once people would confide in divine oracles, golems, or fairies, today we trust our search platforms to digest encyclopaedic knowledge and make it easily available. It is a great human-machine interface, and an awe-inspiring creative co-pilot, less so a reliable storage of knowledge.

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Ontotext

MARCH 13, 2024

Motivated by our marketing team’s aim to simplify content discovery on our website, we initiated the Ontotext Knowledge Graph (OTKG) project. We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. What is OTKG?

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Ontotext

APRIL 6, 2023

Well, it’s all thanks to knowledge graphs. Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. For many of us that is already happening the moment we enter our cars.

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Ontotext

JANUARY 10, 2024

There’s been a lot of criticism that knowledge graphs are too complex. In Computer Science, we are trained to use the Okham razor – the simplest model of reality that can get the job done is the best one. So, why do we recommend knowledge graphs, which are perceived to be complex, to our customers?

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Ontotext

AUGUST 15, 2019

Next month marks the twelfth edition of our live online training Designing a Semantic Technology Proof-of-Concept. But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs.

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Ontotext

DECEMBER 20, 2023

As knowledge graphs have made their way into more and more areas of our lives through smarter search and immersive information navigation, they are also gradually turning into the default way we expect to interact with knowledge. But what about questions related to intangibles? What if we told you could? Enter Odeuropa.

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Ontotext

AUGUST 12, 2021

Tracking these activities is key to assessing the impact of the institution on the current state of medical research but combining such a variety of data sources is also a surprisingly challenging task. This approach is sub-optimal for a variety of reasons: The data is incomplete because there is no clear protocol on what should be reported.

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Ontotext

DECEMBER 16, 2020

At the end of an unconventional year, we at Ontotext still want to honor our tradition and provide our readers with a round-up of the most popular posts on our blog. 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.

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Ontotext

AUGUST 31, 2023

Have you ever been in a conversation where someone mentioned a “knowledge graph,” only to realize that their description was completely different from what you had in mind? What is a knowledge graph? Just a few years ago, a harmless mix-up like this one would hardly catch anyone’s attention.

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Ontotext

AUGUST 16, 2024

Guillaume : At the heart of Ontotext solutions lies what we call a knowledge graph. Why do you think knowledge graphs are the best way to access knowledge? In this way, I can access not only the existing data but also connect other data points to it and enable machines to understand how to use it.

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Cloudera

SEPTEMBER 26, 2024

AMPs enable data scientists to go from an idea to a fully working ML use case in a fraction of the time. By providing pre-built workflows, best practices, and integration with enterprise-grade tools, AMPs eliminate much of the complexity involved in building and deploying machine learning models. To view a demo, watch this vi deo.

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Ontotext

SEPTEMBER 23, 2021

So, we started this series by introducing knowledge graphs & their application in data management and how to reason with big knowledge graphs & use graph analytics. Mapping UI , our CTO Vassil Momtchev teaches you how to generate RDF data from various data formats. Mapping UI.

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Ontotext

OCTOBER 11, 2023

SEMANTiCS 2023 kicked off with a Pre-conference day that offered an awesome lineup of business and academia talks. These delved deep into the transformative potential of Large Language Models (LLMs) and the need for semantic technologies to ensure high-quality training data for these models. Are LLMs Knowledgeable?

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Metadata Cost-Benefit Marketing Modeling 69

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. LLM is by its very design a language model. Examples of these types of applications are content summarization, programming tasks, data extraction, and conversational assistants (chatbots).

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Ontotext

NOVEMBER 18, 2021

You step onto the market, and if you don’t keep your data, there’s no knowing where you might be swept off to. [1]. Picture this – you start with the perfect use case for your data analytics product. Nowadays, data analytics doesn’t exist on its own. You make a great pitch and you sell well. But with robots.

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Ontotext

NOVEMBER 22, 2020

Knowledge graphs have been proven to be a powerful, scalable and intelligent technology for solving today’s complex business needs. Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems.

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Metadata Cost-Benefit Unstructured Data Technology 72

Ontotext

NOVEMBER 7, 2019

An armored Knowledge Graph platform with enough power to enrich an entire planet. Star Wars Knowledge Graphs. The Empire Strikes Back. Star Wars RDF Data. Star Wars RDF Model. Visualizing Star Wars RDF Graphs. Querying Star Wars RDF (SPARQL). Return of the Jedi. Where are all the Droids?

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Ontotext

DECEMBER 7, 2023

A graph is like a map that represents real-life objects and the relationships between them. While many of us use Google, Twitter, Alexa and Siri, likely most don’t know (or think about) that they are powered by knowledge graph technology. The descriptions of these entities have a specific structure and meaning (semantics).

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Ontotext

SEPTEMBER 15, 2020

What Makes a Data Fabric? Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. It is a buzzword.

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AWS Big Data

JUNE 21, 2023

Among them are the use of embedding models, a type of model that can encode a large body of data into an n-dimensional space where each entity is encoded into a vector, a data point in that space, and organized such that similar entities are closer together.

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Ontotext

OCTOBER 10, 2023

This year’s pre-conference day of SEMANTiCS – the annual European conference on semantic technologies , organized by our partners at the Semantic Web Company (SWC), was dedicated to DBpedia. The day opened with a DBpedia Keynote Session by Edward Curry, Professor of Data Science at the University of Galway.

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Ontotext

JUNE 24, 2020

To get the most out of Ontotext Platform and its use of GraphQL, your organization should expose a single knowledge graph. And when Ontotext Platform’s Semantic Objects are combined with yours, we shall have an army greater than any in the galaxy. Knowledge Graph Training. The Jedi will be overwhelmed.

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Ontotext

JANUARY 25, 2024

In the current data management landscape, enterprises have to deal with diverse and dispersed data at unimaginable volumes. Among this complexity of siloed data and content, valuable business insights and opportunities get lost. This is a core component of most data fabric based implementations.

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Ontotext

NOVEMBER 5, 2019

Ontotext Platform synergizes knowledge graphs and text analysis as follows: Knowledge graphs can improve text analysis performance. Big knowledge graphs provide rich semantic profiles of all the popular concepts in a given domain and allow those to be more accurately recognized in text.

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Ontotext

DECEMBER 2, 2021

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. And the LAZY system from our previous blog posts is at the threshold of that important step.

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Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? Atanas Kiryakov: Knowledge graphs will prosper in the ChatGPT era. To start with, Large Language Models (LLM) will not replace databases. LLM will not replace knowledge graphs either. I am very optimistic!

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