Ontotext

JULY 14, 2021

In the last couple of years, we’ve had so many Ontotext webinars on interesting topics, attended by an increasing number of people, asking more and more questions that we’ve decided to start a new series of blog posts dedicated to them. We can address many of their challenges with our products – GraphDB and Ontotext Platform.

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Ontotext

AUGUST 26, 2021

This post continues the series of posts we started with At Center Stage: 2 Ontotext Webinars About Reasoning with Big Knowledge Graphs and Power of Graph Analytics. We want to give you the bigger picture of what we do and where Ontotext webinars fit into it – just a couple of webinars at a time. Why is that?

Analytics 52

Analytics Knowledge Discovery Enterprise Optimization 52

Ontotext

JULY 9, 2020

was very unlikely to bring anything meaningful, notes Phil Lewis in Smarter enterprise search: why knowledge graphs and NLP can provide all the right answers. It is tempting to imagine a future where a knowledge graph powered semantic search will become so sophisticated that we could even ask: “Is soup one of life’s great mysteries?”

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Ontotext

AUGUST 2, 2024

Ontotext has offered semantic technology training for nine years. A great new course that follows this model is our Graph RAG Training , where you can learn how knowledge graphs can enhance the use of large language models for more accurate, contextual question answering.

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Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. What can it do and how are enterprise knowledge graphs related to it? Source: tag.ontotext.com. What is it?

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Ontotext

NOVEMBER 29, 2024

The role of knowledge graphs in AECO transformation At present, knowledge graphs are the best-known technology capable of offering decentralized ways of going beyond existing data silos. They enable the interlinking of various data sources and provide deeper insights, considering multiple points of interest.

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Ontotext

MARCH 1, 2023

One of the limitations of ChatGPT is its lack of understanding of the context and background knowledge of the text it generates. One way to overcome these limitations is by training the ChatGPT language model with data from Knowledge Graphs. However, like any machine learning model , it has its limitations.

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Ontotext

OCTOBER 10, 2019

Knowledge Graphs give AI context to solve problems and make decisions. Within Ontotext’s GraphDB there are knowledge graphs to represent data but also its meaning. This is how data and information are transformed into the ‘knowledge’ in knowledge graphs.

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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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Modeling Knowledge Discovery Data Quality Visualization 90

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

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. Ontotext Answer: Indeed, we are. The Ontotext reconciliation service is in development and would be based on Elasticsearch indexing.

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Ontotext

DECEMBER 16, 2021

This data comes from both private and public sources and in structured and unstructured formats, making it difficult to create a unified, queryable view of existing knowledge. A knowledge graph-based approach solves this problem by unifying the information within an intuitively linked structure. See figure 1.).

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Ontotext

JUNE 10, 2021

Graph Databases vs Relational Databases. With graph databases the representation of relationships as data make it possible to better represent data in real time, addressing newly discovered types of data and relationships. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

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Metadata Cost-Benefit OLAP Modeling 119

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

AUGUST 11, 2021

ONTOTEXT ANSWER: As with most serious matters, the question of security is not simple to answer. As GraphDB handles a knowledge graph, many users would like to have security access over graphs or even particular triples. So, when you are uploading data, can you use data in other graphs for inference?

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Ontotext

MARCH 24, 2021

For these reasons, we have applied semantic data integration and produced a coherent knowledge graph covering all Bulgarian elections from 2013 to the present day. In the back-end the data is hosted in Ontotext’s GraphDB engine. The post 5-Star Linked Open Elections Data appeared first on Ontotext. The road ahead.

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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

OCTOBER 14, 2021

In the past year, knowledge graphs topped the curve of the Gartner Hype Cycle for Artificial Intelligence, and graph database vendors raised more than half a billion dollars in venture capital funding. It’s safe to say knowledge graphs have entered the spotlight. Drawing More Value Out of Existing Data.

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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. Gartner’s Hype Cycle of Artificial Intelligence 2020 , includes Ontotext as one of the exemplar vendors list for knowledge graphs. The aspiration behind Ontotext Platform 3.3

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Ontotext

JUNE 3, 2020

In sixteenth and seventeenth century Europe, humans’ never-ending need for knowledge and insatiable curiosity manifested in what was first labeled as Wunderkammers (cabinets of curiosities). But is such digital representation of objects and artifacts enough to help us satiate our need for knowledge?

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Ontotext

NOVEMBER 4, 2021

ONTOTEXT ANSWER: You probably saw our performance comparison on the topic and are wondering if more performant is always better. As an abstract knowledge representation model, it does not differentiate between data and metadata. In a property graph, the connection is a concept in itself. Named Graphs.

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Metadata Modeling Optimization IT 97

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. You need to be able to answer these questions before you can start a knowledge graph project.

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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. You can read in detail how the EOKG was built in: European Olfactory Knowledge Graph, version 1.)

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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. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

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Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

SEPTEMBER 15, 2020

Knowledge Graphs are the Warp and Weft of a Data Fabric. Connecting the data in a graph allows concepts and entities to complement each other’s description. Given a critical mass of domain knowledge and good level of connectivity, KG can serve as context that helps computers comprehend and manipulate data.

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Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

NOVEMBER 18, 2021

Through this series of blog posts, we’ll discuss how to best scale and branch out an analytics solution using a knowledge graph technology stack. Our main weapons when beating that beast will be GraphDB , Ontotext Platform , Kafka , Elasticsearch , Kibana and Jupyter. Inferring new knowledge. Ontotext’s GraphDB.

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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. Data is interconnected, like some sort of worldwide web of knowledge. Ontotext’s GraphDB.

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Ontotext

OCTOBER 11, 2023

Are LLMs Knowledgeable? And Other Crazy Ideas) The official conference started with a bang: Xina Lunda Dong’s presentation: Generations of Knowledge Graphs : The Crazy Ideas and the Business Impact [ PPT ]. You can also play with ESG + Knowledge Graph or read about PoolPary meeting ChatGPT ).

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Metadata Cost-Benefit Marketing Modeling 69

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. Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? Why a Knowledge Graph?

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Ontotext

NOVEMBER 7, 2019

During the battle, however, it is discovered that Ontotext has secret plans to allow both GraphQL and SPARQL to co-exist, and flourish together, building the ultimate weapon, the ONTOTEXT PLATFORM ! An armored Knowledge Graph platform with enough power to enrich an entire planet. Star Wars Knowledge Graphs.

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Ontotext

SEPTEMBER 2, 2020

Organizations that invest time and resources to improve the knowledge and capabilities of their employees perform better. Staff turnover is the most obvious reason, but it might also be because management has new priorities resulting in skills and knowledge developed previously degrading. Knowledge graphs can help do both.

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Ontotext

JANUARY 10, 2024

There’s been a lot of criticism that knowledge graphs are too complex. So, why do we recommend knowledge graphs, which are perceived to be complex, to our customers? Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

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 6, 2021

Knowledge graphs represent a collection of interlinked descriptions of concepts and entities. A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. It can be treated as a graph, a set of vertices and edges.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Ontotext

AUGUST 12, 2021

A knowledge graph that integrates the several internal and some large external data sources would be able to automatically find many of these connections and free up these domain experts to explore and analyze the most interesting instances. The Benefits Knowledge Graphs Bring to the Table.

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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 19, 2021

Metadata, our CEO Atanas Kiryakov told me, in a brief conversation about Ontotext’s knowledge management solutions , is for data as packaging is for goods. In an enterprise knowledge management context, metadata, and especially semantic metadata , also: facilitates data use. The one from packaging. supports data reuse.

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