Ontotext

FEBRUARY 1, 2024

Using RDF-Star, the relationship joining two concepts (in graph speak, the edge between two nodes) can carry its own set of properties. Knowledge graphs The final step in model complexity covered in my talk is the advent of enterprise knowledge graphs, and, more specifically, what Synaptica calls content-aware knowledge graphs.

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. How can you build knowledge graphs for enterprise applications? They own two of the top-rated knowledge graph products on the market.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Ontotext

NOVEMBER 4, 2021

In a property graph, the connection is a concept in itself. This is where RDF graphs and property graphs differ – property graphs natively support more complex relationships. Named Graphs. introduces named graphs (or contexts), which turn triples into quintuples. which doesn’t support graphs).

Metadata 97

Metadata Modeling Optimization IT 97

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. LLM will not replace knowledge graphs either. It’s important to realize that knowledge graphs can be used to fine tune and customize LLMs.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Ontotext

DECEMBER 16, 2021

In this article, the second entry in our Graphs on the Ground series ( see our first article on financial services ), we will explore how knowledge graphs combat these challenges across four critical activities within the world of life sciences and pharmaceuticals. Simplified Graph of Drug Features. Drug development.

Metadata 98

Metadata Reporting Unstructured Data Risk 98

Ontotext

JULY 6, 2023

Changing the game with knowledge graphs So how does knowledge graph technology help enterprises in the Financial Services Industry become data-driven? via an ontology) extracting signals from unstructured content Now, let’s consider some other use cases in Finance where knowledge graph technology makes a difference.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

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.

IT 69

IT Technology Modeling Analytics 69

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? And still there is confusion around the Semantic Web.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

AWS Big Data

NOVEMBER 17, 2023

During the run, dbt creates a Directed Acyclic Graph (DAG) based on the internal reference between the dbt components. During the run, dbt converts all the models, snapshots, tests and macros to Amazon Redshift compliant SQL statements and it orchestrates the run based on the internal data lineage graph maintained.

Snapshot 89

Snapshot Data Processing Testing Data Warehouse 89

Domino Data Lab

JULY 1, 2021

This dataset is based on the GMB ( Groningen Meaning Bank ) corpus, and has been tagged, annotated and built specifically to train a classifier to predict named entities such as name, location, etc. The tags used in the dataset follow the IOB format, which we cover in the next section. The IOB format. a noun group, a verb group etc.)

Modeling 111

Modeling Statistics Testing Metrics 111

Ontotext

AUGUST 4, 2023

Instead, it leverages AI and graph-based analytics as well as deeply integrated data management workflows and applications. Enable tagging and annotations: supported by centralized policies for access, privacy, protection, and quality of data with enforcement of governance policies.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs can help do both. Knowledge graphs coupled with text analysis (TA) is a proven solution for preserving institutional memory through a passive collection of knowledge, enabling users to bring value to the company and preserve institutional memory without the burden of an additional and highly tedious data entry task.

Insurance 72

Insurance Metadata Publishing Unstructured Data 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. Knowledge Graph Training. Web Annotation GraphQL Service. Find Annotations with Droid tags. As you model and engineer a large knowledge graph it can become very difficult to manage complexity.

Modeling 64

Modeling Technology IT Management 64

Ontotext

DECEMBER 15, 2023

Introduction InnoGraph will build a holistic knowledge graph of innovation based on Artificial Intelligence (AI), and more generally of the global “hitech” ecosystem. It is a key use case of the Horizon Europe research project enrichMyData. The taxonomy integrates various data sources, offering a holistic view of AI innovation.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

Ontotext

MARCH 19, 2021

For example, consider formatting tags. In HTML, the formatting tags can go even further and can be used not only to define the visual appearance of the text, but also to add semantic value to it. In the same way, metadata can serve as an integral part of the usefulness of information.

Metadata 124

Metadata Enterprise Publishing Management 124

Ontotext

JANUARY 26, 2023

In other words, data coming from different sources need to be interlinked, contextualized and normalized in a graph that allows for its consistent and unambiguous interpretation. Motivating the use of knowledge graph technology for environmental data, the authors explain why spatial data requires special treatment.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

Ontotext

DECEMBER 15, 2021

GraphDB User Question: Can I export a single named graph? Get a quick answer using the graphdb tag on stack overflow. Ontotext Answer : That’s not possible – but if you want different users to have access to different queries, you can do it by creating separate users. Ontotext Answer : Yes, you can. Ontotext Answer : Absolutely.

IT 98

IT 98

Ontotext

DECEMBER 3, 2021

Enable the context index if you are using a lot of named graphs. If you use the named graph FROM onto:measure , the database would actually execute the query as well, and give you timings for each separate step of the execution process. Get a quick answer using the graphdb tag on stack overflow. Extra indexes. More resources.

Optimization 52

Optimization Measurement IT 52

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. Discoverability, Insights and Decision-Making.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Ontotext

FEBRUARY 14, 2024

It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs. One such example is the tagging behind News On the Web. We’ve had a fair share of such implementations over the years.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Ontotext

MAY 26, 2021

As Wikipedia is not only the biggest encyclopedia, but its contributors adhere to a strict editorial process, each industry tag is usually assigned by one person and reviewed by another. Do you want to learn more about how to implement Knowledge Graph-based Content Management solutions? But here again ambiguity is a stumbling block.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Smart Data Collective

JUNE 4, 2021

Linear algebra is the study of linear equations and graphs of linear equations. In data science, use linear algebra for understanding the statistical graphs. Visual graphs are the core of descriptive statistics. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

FineReport

APRIL 26, 2020

The Tableau development team is working on exploring what types of charts users prefer so that Tableau can display the best graphs for the data. . Charts and Graphs. Unable to search the infographic templates based on topic, tags, or design. Charts and Graphs. Tableau is almost closed. 4) Datawrapper. From Google.

Visualization 98

Visualization Software Dashboards Interactive 98

AWS Big Data

MARCH 11, 2024

With proper application tagging, you could also break this spend down by application to see which applications account for the cost. The first step to understanding your code performance is through the built-in utility within Apache Flink called Flame Graphs. You can identify data skew among subtasks this way.

Management 95

Management Snapshot Metrics Cost-Benefit 95

AWS Big Data

FEBRUARY 28, 2024

Airflow object storage uses fsspec to enable consistent data access code across different object storage systems, thereby streamlining infrastructure complexity. Because Airflow’s object storage uses shutil.copyfileobj , the objects’ data is read in chunks from gcs_data_source and streamed to amazon_s3_data_target.

Management 80

Management Software Enterprise Modeling 80

Ontotext

NOVEMBER 9, 2023

Cross-institutional efforts such as the Transparency Energy Knowledge Graph (TEKG) depend on the interoperability of multiple datasets owned by different enterprises. sh:languageIn — asserts that the target of this constraint must be a literal and that it must have a language tag that matches one of the listed language tags or their subtags.

Data Quality 64

Data Quality Testing Reporting Metadata 64

AWS Big Data

NOVEMBER 15, 2023

Data scientists and engineers have made Apache Airflow a leading open source tool to create data pipelines due to its active open source community, familiar Python development as Directed Acyclic Graph (DAG) workflows, and extensive library of pre-built integrations.

Management 90

Management Data Processing Interactive Software 90

AWS Big Data

APRIL 25, 2024

Usually, data engineers create an Airflow Directed Acyclic Graph (DAG) and commit their changes to GitHub. In the Links section, there are options to view the code, graph, grid, log, and more. Choose Graph to visualize the DAG in a graph format. strftime("%Y") vMonth = datetime.today().strftime("%m")

Metadata 72

Metadata Data Processing Management Testing 72

FineReport

JUNE 9, 2020

This graph is often used when we need to describe the change of things with time dimension. Such as user portrait tags, search keyword frequency, news keyword frequency. Top 10 Graph Makers You Can’t Miss in 2020. If the horizontal axis is not a time dimension, it is recommended to distinguish each column by color. Free Trial.

Visualization 105

Visualization Dashboards Sales Manufacturing 105

IBM Big Data Hub

AUGUST 28, 2023

Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., Data visualization techniques like word clouds, bar charts and network graphs can help you present the findings in a concise, visually appealing way. noun, verb, adjective, etc.),

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

The Unofficial Google Data Science Blog

JANUARY 16, 2018

The graph of user collaboration can be separated into distinct connected components (hereafter referred to as "components"). Methodologies for experimenting on users in social networks focus on ways to partition the overall graph into subgraphs, and then to run randomized experiments on these subgraphs. Hierarchy: component ?

Testing 58

Testing Experimentation Measurement Modeling 58

Smart Data Collective

OCTOBER 4, 2021

Big data companies can sort this information through charts, word clouds, graphs, categories, tags, or top authors. Analyzing the Conversational Data. Once audience data is gathered through conversation analysis, it should be studied. This analysis and organization will identify trends, challenges, and opportunities.

Big Data 112

Big Data Data Quality Advertising Interactive 112

FineReport

APRIL 26, 2020

The Tableau development team is working on exploring what types of charts users prefer so that Tableau can display the best graphs for the data. . Charts and Graphs. Unable to search the infographic templates based on topic, tags, or design. Charts and Graphs. Tableau is almost closed. 4) Datawrapper. From Google.

Visualization 52

Visualization Software Dashboards Interactive 52

bridgei2i

NOVEMBER 25, 2020

When it comes to using it in an enterprise, semantic search is used to identify the knowledge graphs and help find the data the employees are looking for. It streamlines data flow throughout the enterprise and brings flexibility to the system. Augmented Classification of Data. Automation and Data Governance.

Enterprise 52

Enterprise Data mining Consulting Risk Management 52

O'Reilly on Data

MARCH 7, 2019

Not only will named entity recognition or entity resolution models fail, but even basic tasks such as tokenization , part of speech tagging , and sentence segmentation will fail for the majority of sentences. Neural network graphs. Health care-specific part-of-speech tagging. Medical embeddings. NLP Pipeline API’s.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

Ontotext

DECEMBER 2, 2022

Filtering by graph. Filtering by language tag – for example, filter only the values in English and Bulgarian. This is a shorthand for the previous approach to doing this, graph(?field) However, we already have blog posts on creating knowledge graphs , including visualizations. Then, using the construct `?child

IT 52

IT Visualization Software Technology 52

DataRobot Blog

JUNE 16, 2022

This tutorial will explain the DataRobot Airflow Provider setup and configuration process, helping you implement an Apache Airflow DAG (Directed Acyclic Graph) to orchestrate an end-to-end DataRobot ML pipeline. The graph view of the DAG looks like this: Note: If you are running Airflow in a Docker container (e.g., Paste the config.

Machine Learning 59

Machine Learning Modeling Testing Publishing 59