Trend Results : Knowledge Graph

Blog Post Results (1-20 of 431)


Stardog Launches Innovative Machine Learning In New Release

by Angela Guess According to a recent press release out of the company, “Stardog Union, provider of the leading Enterprise Knowledge Graph platform, has launched version 5.0. While the company made substantial performance improvements...Show More Summary

Knowledge Maps – Connecting the Dots

Click to learn more about author John Singer. The solution to the problem described in “Knowledge Maps: What Is the Problem We Are Trying To Solve” lies in the artful combination of several maturing technologies – Semantics, Graph Databases, and Web Services. Show More Summary

KBpedia Relations, Part II: An Event-Action Model

How we model or represent relations is one of the critical design choices in a knowledge graph. In this Part II of our ongoing series on KBpedia relations, we discuss the event-action model underlying our characterization of direct relations. Much of this part relies on the writings of Charles Sanders Peirce.

Insights from a data-driven study of the IoT market

Aman Naimat discusses what he learned from building a knowledge graph of the entire business world. Continue reading Insights from a data-driven study of the IoT market.

KBpedia Relations, Part I: Smarter Knowledge Graphs

We are working on our next release of KBpedia, the knowledge structure that knits together six major public knowledge bases for the purpose of speeding machine learning and providing a scaffolding for data interoperability. This first...Show More Summary

GraphDB 8.1 Makes Knowledge Discovery Faster and Richer

by Angela Guess According to a new press release, “Ontotext is proud to release the latest 8.1 version of its signature semantic graph database, GraphDB, which makes knowledge discovery faster and richer than before.   GraphDB is the...Show More Summary

Google adds Bengali to languages it supports as Silicon Valley eyes region’s booming digital market

4 months agoTechnology : Venture Beat

Alphabet’s Google unit announced today that it now offers specialized search and its knowledge graph in Bengali, one of the most common languages spoke in India after Hindi and English. Indeed, Bengali is the sixth most widely spoken language on the planet, according to Google, and is spoken by about 200 million people. It’s ranked […]

Uses and Control of Inferencing in Knowledge Graphs

There are many methods available via SPARQL and SWRL to narrow or broaden knowledge graph searches in order to target the best focused results. Some of these methods are described in this article.

The Importance of Semsets in Knowledge Graph Design

The use of semsets -- that is, any label that draws attention to a given thing, such as synonyms -- are a best practice for characterizing the nodes and edges in a knowledge graph. Semsets reinforce the idea of "things not strings" in enabling a KG to be a common understanding of a shared domain.

New KBpedia Release Greatly Expands Knowledge Structure

A new version of KBpedia was released that added 40% in new scope from Wikipedia. The additions were made possible by a new knowledge graph alignment method called 'reciprocal mapping' that is based on graph embeddings, machine learning, and other artificial intelligence techniques. Show More Summary

KBpedia Knowledge Graph 1.40: Extended Using Machine Learning

I am proud to announce the immediate release of the KBpedia Knowledge Graph version 1.40. This new version of the knowledge graph includes 53,739 concepts which is 14,687 more than with the previous version. It also includes 251,848 new alternative labels for 20,538 previously existing concepts in the version 1.20, and 542 new definitions. Show More Summary

Reciprocal Mapping of Knowledge Graphs

A new method of ontology alignment is presented for knowledge graphs, called reciprocal mapping. The idea is to enhance a target knowledge base (in this case, KBpedia) with local graph structure and content from an external source knowledge base (in this case, Wikipedia) in order to fill gaps in the source. Show More Summary

Browsing the KBpedia Knowledge Graph

This article deals with browsing the KBpedia knowledge structure, found under the Knowledge Graph main menu link on the Cognonto Web site. The article is a first in a new series covering non-machine learning use cases, already covered elsewhere, of the KBpedia knowledge graph.

AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction

Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction On the upcoming colloquium on 23.01.2017, Ivan Ermilov will present his work on automatic mappings of tables to knowledge graphs, which was published as  TAIPAN:...Show More Summary

Is Google’s Knowledge Graph Secretly Damaging Your Content Marketing Efforts?

When Google launched its Knowledge Graph back in 2012, it was hailed by users and marketers alike as a breakthrough in search. Instead of sifting through page after page of results, you could instead get the detailed information you needed – and by extension, everything else you might want to know about the topic – […]

Start building Actions on Google

Posted by Jason Douglas, PM Director for Actions on Google The Google Assistant brings ogether all of the technology and smarts we've been building for years, from the Knowledge Graph to Natural Language Processing. To be a truly successful Assistant, it should be able to connect users across the apps and services in their lives. Show More Summary

Copyright © 2015 Regator, LLC