based Gruff Drives Infinite Data Integration, Holistic Insights and Complex Reasoning

Ontotext Platform 3.1 features GraphQL Mutation and Federation, Schema Generation, Access Control and API Gateway for easy development of knowledge graphs

SERP analysis is an essential step in the process of content optimization to outrank the competition on Google. In this blog post I will share a new way to run SERP analysis using machine learning and a simple python program that you can run on Google Colab. SERP (Search Engine Result Page) analysis is part of keyword research and helps you understand if the query that you identified is relevant for your business goals. More importantly by analyzing how results are organized we can understand how Google is interpreting a specific query. What is the intention of the user making that search?What search intent Google is associating with that particular query?The investigative work required to analyze the top results provide an answer to these questions and guide us to improve (or create) the content that best fit the searcher. While there is an abundance of keyword research tools that provide SERP analysis functionalities, my particular interest lies in understanding the semanti

Knowledge Graphs are very hot in the information world right now; when articles from this fairly esoteric space in the information industry show up in Forbes and the Wall Street Journal, something is clearly afoot.

First data modeling is based on two assumptions. The first

[Submitted on 17 Apr 2020] Download PDF Abstract: ``Classical'' word embeddings, such as Word2Vec, have been shown to capture

Gremlin Snippets are typically short and fun dissections of some aspect of the Gremlin language. For a full list of all steps in the Gremlin language see the Reference Documentation of Apache TinkerPop™. This snippet is based on Gremlin 3.4.6.This snippet demonstrates its lesson using the data of the modern toy graph (image).Please consider bringing any discussion or questions about this snippet to the Gremlin Users Mailing List.

This post made it to top 10 on HackerNews front page. Do engage in discussion

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based entity recommendation framework

Within a growing organization, finding the right information can take up a good part of your day.

Recipes for Knowledge Graphs that WorkLearn why and how to build knowledge graphs that help enterprises use data to innovate, create value and increase revenue. This practical manual is full of recipes and knowledge on the subject.Learn more about the variety of applications based on knowledge graphs.Learn how to build working knowledge graphs and which technologies to use.See how knowledge graphs can benefit different parts of your organization.Get ready for the next generation of enterprise data management tools.Click here to get the book as free PDF or Kindle version. Sign up for the Webinar on Wednesday,

L3S member Prof. Dr. Sören Auer, Director of the TIB and Professor of Data Science & Digital Libraries at Leibniz Universität Hannover, is one of the world's most cited researchers in the field of artificial intelligence. Analyses of academic data from the online platform AMiner (https://www.aminer.org/ai2000/ke) have shown that Sören Auer is one of the most influential scientists in the field of knowledge engineering (knowledge modelling).  The list, which puts him in 4th place, honors the work of the researchers over the last 10 years. The "Most Influential Scholar" award is given in recognition of outstanding technical achievement with lasting impact. How can the handling of information, data and knowledge be improved and made more effective? In view of the enormous technological progress, how can knowledge and information be digitally networked so that they can be better used by machines in the future? Auer and his team at the TIB and the L3S in Hannove

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literally as well as figuratively (through investments, supplying

Financial fraud is growing and it is a costly problem, estimated at 6% of the Global Domestic Product, more than $5 trillion in 2019.

Discover graph-powered COVID-19 projects, how Neo4j is supporting these efforts, and also learn how to get involved or receive support.

For this blog Ahren Lehnert explains why this may be a golden moment for KM to address theoretical benefits in the context of real-world emergencies.

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Hi everyone, The Knowledge Graph Conference 2020 agenda is now live! Check it out. May 4-5 Workshops & Tutorials 2 workshops and 7 tutorials on building the state of the art KGs Schedule May 6-7 Main Conference 30 speakers of KG pioneers and leaders sharing vision for KG innovations Schedule KGC 2020 Tickets Join over 130 […]

GDELT is the largest, most comprehensive, and highest resolution open database of human society ever created. Its vast archives of more than a quarter billion georeferenced records covering the entire world over 30 years, coupled with massive networks that connect all of the people, organizations, locations, themes, and emotions underlying those events, offers unprecedented opportunities to understand and interact with our world in fundamentally new ways.

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“You must unlearn what you have learned” (Master Yoda) The “conceptual” level

page paper goes into a fair bit of detail about the proposal. The basic idea of how the system w

The lack of support for stateful cloud-native application behavior is a roadblock to many cloud use-cases. This article looks at graph knowledge-based systems which offer one approach to the design of next-generation platforms.

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19. This editor can help you provide them with that information. Note that most cases for using this markup is restricted to official government sites and there are strict guidelines for the accuracy of the information. Please read this Bing Post with details on what you are allowed to do, and need to do. Bing may punish sites that break the guidelines. If you do successfully provide information to Bing or Google, I'd love to hear about it. Email me or start a conversation on Twitter or the Facebook group (see to left). Same goes for any issues you have. Let's make sure this works. Also contact me if you have issues understanding the specifications and documentation. Bing, Google and schema.org are also very keen to get this working. To get started, use the following editor to enter your Special Announcem

Last month in Populating a Schema.org dataset from Wikidata I talked about pulling data out of Wikidata and using it to create Schema.org triples, and I hinted about the possibility of updating Wikidata data directly. The SPARQL fun of this is to then perform queries against Wikidata and to see your data edits reflected within a few minutes. I was pleasantly surprised at how quickly edits showed up in query results, so I thought I would demo it with a little video.

Criminals are constantly finding new and more sophisticated ways to commit fraud. Every technological development presents new opportunities for illicit activities, and few more so than the evolution of digital currencies.