We present a solution to learn URI selection criteria in order to improve the crawling of Linked Open Data by predicting their RDF-relevance. The prediction co…

Knowledge graph data models show meaningful relationships between data, allowing knowledge and data assets to be understood by both humans and machines.

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

About two weeks ago, I had the pleasure of attending the 1st Conference on Automated Knowledge Base Construction held in Amherst, Massachusetts. This conference follows up on a number of successful…

Ontotext releases GraphDB 8.10, which makes the knowledge graph experience quicker, easier and more productive.

Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is. Asking your favorite voice assistant what the weather will be like tomorrow? That’s thanks to a knowledge graph. But what exactly is a knowledge graph? Well, there’s actually some debate on what the best […]

Stardog 6.2 just shipped with scalable virtual graph caching, better Kubernetes integration, support for Amazon Redshift, and many new optimizations . Read on for the details.

Incident response involving human responders requires context of systems and services that are encountering issues. Getting this context…

In this paper we introduce the latest version (Version 2.0) of OSCAR, the OpenCitations RDF Search Application, which has several improved features and extends the query workflow comparing with the previous version (Version 1.0) that we presented at

Material for VKG2019 tutorial at ESWC2019. Contribute to oeg-upm/vkg-tutorial-eswc2019 development by creating an account on GitHub.

This is what the resultant 100 retail outlet isochrone map looks like, built using Spatia and @rapidsai #cuGraph SSSP using @OrdnanceSurvey Open Roads as road graph + drive times estimated from @transportgovuk road stats #opendata cc @puntofisso pic.twitter.com/rGhDinkaVX— John Murray (@MurrayData) May 28, 2019

To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account. Traditional methods like...

News and the global capital markets are inextricably linked. Recent developments in machine learning, knowledge graphs, and language technology have enabled increasingly intelligent ways to obtain a market advantage based on real-world events. This talk details how Bloomberg uses these technologies to quickly understand and respond to major world events in order to predict when or how breaking business news will move markets – and why.

Knowledge graphs and their relation to taxonomies, ontologies, and other knowledge organization systems.

For those of you who have been struggling through my series of posts on the TDWG Standards Documentation Specification, you may be happy to ...

News and the global capital markets are inextricably linked. Recent developments in machine learning, knowledge graphs, and language technology have enabled increasingly intelligent ways to obtain a market advantage based on real-world events. This talk details how Bloomberg uses these technologies to quickly understand and respond to major world events in order to predict when or how breaking business news will move markets – and why.

WHAT THIS TALK IS ABOUT My personal take on the history of human label collection ter to you

First Impressions of RDFox while the Benchmark is Developed

Background. Most tutorial ontologies focus on illustrating one aspect of ontology development, notably language features and automated reasoners, but ignore ontology development factors, such as...

Mappings between ontologies, or between an ontology and an ontology-like resource, are a necessary fact of life when working with ontologies. For example, GO provides mappings to external resources…

For a domain with a strong focus on unambiguous identifiers and meaning, the Semantic Web research field itself has a surprisingly ill-defined sense of identity. Started at the end of the 1990s at the intersection of databases, logic, and Web, and influenced along the way by all major tech hypes such as Big Data and machine learning, our research community needs to look in the mirror to understand who we really are…

Ontotext’s smart semantic search solution helps Pharma companies to seamlessly navigate data and information coming from various siloed data-sources.

Google may use Semantic Frames to better pre-train natural language when processing it to improve query understanding, word & sentence prediction & search.

Until now the only way to run Graph Algorithms on Neo4j has been to learn Cypher. The Graph Algorithms Playground changes all that.

Renewable Energy Sources (RES) are increasingly penetrating the energy production side, and in combination with DR programs and improvement in energy storage options, could contribute to significantly reduce peak demands: Semantic Technologies for Demand Response

How do you apply graph thinking to solve complex problems? With Practitioners Guide to #Graph #Data @DeniseKGosnell @MBroecheler show #datascientists how to think about data as graph, techniques for building scalable, real-time, multimodel architectures

Welcome to PyCon India CFP Technical talks are the most important event at PyCon India, the core of the conference essentially. Two of the four days are dedicated to talks. Talks are short lectures (30 min slot) supported by a presentation. Speakers come from the Python community. Talks are selected through a CFP (Call For Proposals) process. Interested members of the community propose their talks. An editorial panel designated by the organizers makes the selections. The 2018 edition of the conference saw some 267 proposals, of which 31 were selected. CFP applications from the previous year...