We are a diverse team of scientists, developers and data people from academia and industry.

One of the "defects" of RDF for data management is that it does not support business rules. That's a generality, so let me explain a bit. ...

Building a knowledge graph the semantic data modeling way in 10 steps with the help of Ontotext's knowledge graph technology experts.

Connect with us and learn about the latest news and solutions around high performance computing, supercomputing, AI, big data and more.

Creating Graphs in Python using Networkx #dataviz #tutorial #datascience #data #tech

Wan Kenobi, Alec Guinness are nodes and

GQL standard project up for final vote in ISO/IEC ballot Plans to create a standard property graph query language GQL took a critical step forward, this past Friday June 14th. A year ago over 3,000 people took the opportunity to say “Yes to GQL” by voting in an open web poll for The GQL Manifesto,

Summary of crowdsourcing studies to assess the quality of knowledge graphs and complete missing values. Results focus on findings over the DBpedia knowledge gr…

Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a way to integrate information extracted from multiple data sources. Knowledge graphs have also started to play a central role in machine learning and natural language processing as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining what is being learned. This class is a graduate level research seminar featuring prominent researchers and industry practitioners working on different aspects of knowledge graphs. It will showcase how latest research in AI, database systems and HCI is coming together in integrated intelligent systems centered around knowledge graphs.The seminar will be offered over Zoom as per the planned schedule.The seminar is open to public. Remote participants may join the seminar through Zoom. To be

In this post I explain common issues with query performance in Neo4j and how you may solve them using the Query Log Analyser tool.

does it support reverse direction edges?— Dan Brickley (@danbri) March 18, 2019

#ontology has advantages over more common #data structures: Easy Architectural Changes, Inference, Linking Systems Together, Data Surfing. Ontology will become fundamental to how we organize and distribute data @ExagoInc h/t @aaranged

Because Graph Analytics is the future

The #knowledgegraph--smart data that can describe your business and its domains--is now eating software. We won't be able to scale AI or other emerging tech wi…

Data.world has been expanding its footprint in the enterprise. The acqui-hiring of Capsenta complements its portfolio with knowledge graph virtualization to connect data in the cloud and on premise, and a UI to build knowledge graphs

We provide some of the most useful/popular datasets from the LOD cloud in HDT for you to use them easily. If the dataset you need is not available here, you can create your own or kindly ask the data provider to publish their datasets in HDT format for all the community to enjoy.

sheets/ Best, Ryan submitted by /u/RyanAI100

bases and in addition, it includes a multitude of different international chapters/language communities.On the other hand, timbr DBpedia represents a synergy between DBpedia + SQL. Permits the querying of the DBpedia ontology/Open Knowledge Graph (OKG) via s

The interest in Freebase, Wikidata, and DBpedia since Wikidata's launch and geographically over the world (based on Google Trends).Fascinating to see the local distributions, and how slow the decline of Freebase is. pic.twitter.com/EstBNjCT2g— Denny Vrandečić (@vrandezo) February 27, 2020

This website uses cookies to improve service and provide tailored ads. By using this site, you agree to this use. See our Cookie Policy

Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →

viruses worldwide has

Deep learning is everywhere right now, in your watch, in your televisor, your phone, and in someway the platform you are using to read…

Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.

Making decentralized Web app development fun ◆ While the Semantic Web community was fighting its own internal battles, we failed to gain traction with the people who build apps that are actually used: front-end developers. Ironically, Semantic Web enthusiasts have failed to focus on the Web; whereas our technologies are delivering results in specialized back-end systems, the promised intelligent end-user apps are not being created…