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All Blog Posts Tagged 'dsc_graph' (61)

Graph Neural Networks Combined with Semantic Reasoning Deliver ‘Total AI’

The ability for machines to reason—not just identify patterns in massive data amounts, but make rule or logic based inferences on domain specific knowledge—is foundational to Artificial Intelligence. The growing momentum around Neuro-Symbolic AI…

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Added by Jans Aasman on September 7, 2021 at 7:30am — No Comments

Why GraphQL Will Rewrite the Semantic Web

I'm relatively old school, semantically speaking: my first encounters with RDF was in the early 2000s, not long after Tim Berners-Lee's now-famous article in Scientific American introducing the Semantic Web to the world. I remember working through the complexities of RDFS and OWL, spending a long afternoon with one of the editors of the SPARQL…

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Added by Kurt A Cagle on September 2, 2021 at 7:34pm — No Comments

E-R Diagram Cardinality and Participation

Cardinality and participation explained for E-R diagrams.

  • How to show cardinality/participation for several methodologies.
  • Examples of notation and diagrams.

In my previous posts, I discussed some E-R diagram…

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Added by Stephanie Glen on July 25, 2021 at 11:00am — No Comments

Of Superheroes, Hypergraphs and the Intricacy of Roles

In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not really talk much about that particular assertion, because is in fact comes with its own…

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Added by Kurt A Cagle on July 18, 2021 at 6:30pm — 1 Comment

Intro to the E-R Diagram

  • E-R diagrams capture meaning in your data.
  • This high-level visual tool identifies core components of an enterprise
  • Simple steps to follow to create the diagram.

Entity-Relationship (E-R) Modeling is one approach to visualize what story your data is trying to tell. This goal of this predecessor to…

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Added by Stephanie Glen on July 11, 2021 at 2:30pm — No Comments

What's In a Name?

I wrote on this topic way back in 2016, but when a recent reader indicated that the original article didn't have images anymore (it happens), it seemed like a good opportunity to write about it again.

I am Kurt Cagle, or, according to my birth certificate, Kurt Alan Cagle. My name is Kurt Cagle.

Now, think about that…

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Added by Kurt A Cagle on July 6, 2021 at 9:19am — No Comments

Six Secret SPARQL Ninja Tricks

SPARQL is a powerful language for working with RDF triples. However, SPARQL can also be difficult to work with, so much so that it often is not utilized anywhere near as often for its advanced capabilities, which include aggregating content, building URIs, and similar uses. This is the second piece in my exploration of OntoText's GraphDB…

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Added by Kurt A Cagle on April 30, 2021 at 1:17pm — No Comments

Question Answering based on Knowledge Graphs

Why Question-Answering Engines?

The search only for documents is outdated. Users who have already adopted a question-answering (QA) approach with their personal devices, e.g., those powered by Alexa, Google Assistant, Siri, etc., are also appreciating the advantages of using a "search engine" with the…

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Added by Andreas Blumauer on April 26, 2021 at 1:30am — 1 Comment

The Pros and Cons of RDF-Star and Sparql-Star

For regular readers of the (lately somewhat irregularly published) The Cagle Report, I've finally managed to get my feet underneath me at Data Science Central, and am gearing up with a number of new initiatives, including a video interview program that I'm getting underway as soon as I can get the last of the physical infrastructure (primarily…

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Added by Kurt A Cagle on April 19, 2021 at 7:00am — No Comments

Building Effective Site Taxonomies

Several years ago, the typical company website fit into a predefined template - a home or landing page (usually talking about how innovative the company was), a products page, a business client testimonials page, a blog, and an "about us" page. However, as the number of products or services have multiplied, and as the demands for supporting those services…

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Added by Kurt A Cagle on April 8, 2021 at 2:00pm — No Comments

Knowledge Organization: Make Semantics explicit

The organization of knowledge on the basis of semantic knowledge models is a prerequisite for an efficient knowledge exchange. A well-known counter-example are individual folder systems or mind maps for the organization of files. This approach to knowledge organization only works at the individual level and is not scalable because it…

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Added by Andreas Blumauer on March 29, 2021 at 11:30pm — No Comments

The Rise of the Knowledge Scientist

The still young discipline of the management and governance of knowledge graphs (KG) is gradually beginning to consolidate on…

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Added by Andreas Blumauer on March 2, 2021 at 1:00am — No Comments

Citizen data scientists are a good thing, but are they the only thing?

Data rules the world and, as a result, we want data to drive all the big decisions about how the world works because we believe in rationality, evidence, and science. But most organizations struggle to leverage that data to its competitive advantage. It’s probably even accurate to say that, statistically speaking, almost all organizations fail…

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Added by Kendall Clark on February 17, 2021 at 11:47am — No Comments

AI DataSense Technology: Defined

Artificial Intelligence is changing how data management and analysis is handled in the age of big data. Organizations are generating more data than ever before and the process of accessing data using traditional methods is not only time consuming but also poses a threat to the data sets. To handle this challenge, AI changes the way we view data in…

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Added by Indhu on February 12, 2021 at 9:30am — No Comments

Introducing Knowledge Graphs into Organizations

A little soup is quickly cooked. But if many chefs are working together on a larger menu that will eventually be appreciated by a banquet of guests, good preparation is key. In this article we will focus on the preparation phase and outline what it means to introduce…

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Added by Andreas Blumauer on February 9, 2021 at 4:00am — No Comments

What is a Data Catalog? Value, Benefits, and Features


No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they…

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Added by Adam Pope on February 8, 2021 at 11:30am — 1 Comment

Network Graph Visualizations with DOT

Network graphs play a large part in both computing and data science, and they are essential for working with (and visualizing) both semantic graphs and property graphs. Nearly thirty years ago, AT&T produced a set of libraries called graphviz which were…

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Added by Kurt A Cagle on November 29, 2020 at 2:00pm — No Comments

(With Images) Know everything about GANs (Generative Adversarial Network) in depth

Let’s understand the GAN(Generative Adversarial Network).

Generative Adversarial Networks were invented in 2014 by Ian Goodfellow(author of best Deep learning book in the market)  and his fellow researchers. The…

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Added by Sameer Nigam on November 10, 2020 at 8:02am — No Comments

Multi-stage heterogeneous ensemble meta-learning with hands-off demo

In this blog, I will introduce a R package for Heterogeneous Ensemble Learning (Classification, Regression) that is fully automated. It significantly lowers the barrier for the practitioners to apply heterogeneous ensemble learning techniques in an amateur fashion to their everyday predictive problems.…

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Added by Ajay Arunachalam on November 7, 2020 at 1:50am — No Comments

A taxonomy of explainable (XAI) AI models

I am reading a very interesting paper called Principles and Practice of Explainable Machine Learning by

Vaishak Belle (University of Edinburgh & Alan Turing Institute) and Ioannis Papantonis (University of Edinburgh) which presents a taxonomy of explainable AI (XAI).

 

XAI is a complex subject…

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Added by ajit jaokar on November 6, 2020 at 2:00pm — No Comments

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