.

All Blog Posts Tagged 'dsc_graph' (28)

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…

Continue

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The search only for documents is outdated.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…

Continue

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…

Continue

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…

Continue

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…

Continue

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…

Continue

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…

Continue

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

AI DataSense Technology

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…

Continue

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…

Continue

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…

Continue

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

How 360-degree customer view helps your business?

Nowadays, the success of many businesses is primarily attributed to good relationships with their customers. That is, having a comprehensive understanding of what customer needs and availing it to satisfy their needs as well as achieve the business goals.  n Mathematics, 360 degrees is a full rotation that is, there are no blind spots.

Similarly, in…

Continue

Added by Indhu on February 7, 2021 at 2:43am — No Comments

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…

Continue

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…

Continue

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.…

Continue

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

Managing Data in Massive-Scale Vector Search Engine



How data management is done in Milvus…

Continue

Added by Kate Shao on June 8, 2020 at 11:27pm — No Comments

Information Theory (Turbo Codes) & Bayesian Networks

An error correcting code (ECC) is a way of controlling errors in data that is being transmitted over an unreliable or noisy communication channel. In an ECC, the sender encodes the message with redundant information. The receiver is able to detect a limited number of errors, and to correct these errors without retransmission.

Turbo codes are a class of ECC that approach very closely the theoretical…

Continue

Added by Robert R. Tucci on June 4, 2020 at 4:04pm — No Comments

Deploy Your First Serverless AWS ML Solution Fast

Introduction to SageMaker

I’ve been working with AWS SageMaker for a while now and have enjoyed great success. Creating and tuning models, architecting pipelines to support both model development and real-time inference, and data lake formation have all been made easier in my opinion.  AWS has proven to be an all encompassing solution for machine learning use cases, both batch and real-time, helping me decrease time to…

Continue

Added by Jeff Diaz on June 2, 2020 at 12:00pm — No Comments

The Easiest Way to Search Among 1 Billion Image Vectors And Why Vector Search Is Important?

Continue

Added by Kate Shao on May 26, 2020 at 6:00pm — No Comments

Differential ML on TensorFlow and Colab

Brian Huge and I just posted a working paper following six months of…

Continue

Added by Antoine Savine on May 25, 2020 at 11:30am — No Comments

Milvus: A big leap to scalable AI search engine

The challenge with data search

Continue

Added by Kate Shao on May 22, 2020 at 11:00pm — No Comments

Monthly Archives

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

© 2021   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service